{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "464b32d5-56c1-4ada-a8ad-7704129dff91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ipynb is to HD-analyze OH legisl with minimal county splits\n",
      "In version 1, we ignore municipality splits\n",
      "I read in the Census 2020 pop data -- mapped onto 2020 vtds\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATEFP20</th>\n",
       "      <th>COUNTYFP20</th>\n",
       "      <th>VTDST20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>VTDI20</th>\n",
       "      <th>NAME20</th>\n",
       "      <th>NAMELSAD20</th>\n",
       "      <th>LSAD20</th>\n",
       "      <th>MTFCC20</th>\n",
       "      <th>FUNCSTAT20</th>\n",
       "      <th>...</th>\n",
       "      <th>P0050002</th>\n",
       "      <th>P0050003</th>\n",
       "      <th>P0050004</th>\n",
       "      <th>P0050005</th>\n",
       "      <th>P0050006</th>\n",
       "      <th>P0050007</th>\n",
       "      <th>P0050008</th>\n",
       "      <th>P0050009</th>\n",
       "      <th>P0050010</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39</td>\n",
       "      <td>009</td>\n",
       "      <td>005ACR</td>\n",
       "      <td>39009005ACR</td>\n",
       "      <td>A</td>\n",
       "      <td>ATHENS 2-5</td>\n",
       "      <td>ATHENS 2-5</td>\n",
       "      <td>00</td>\n",
       "      <td>G5240</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>336</td>\n",
       "      <td>336</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-82.09632 39.32211, -82.09627 39.322...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ABZ</td>\n",
       "      <td>39159080ABZ</td>\n",
       "      <td>A</td>\n",
       "      <td>MARYSVILLE 2</td>\n",
       "      <td>MARYSVILLE 2</td>\n",
       "      <td>00</td>\n",
       "      <td>G5240</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>141</td>\n",
       "      <td>126</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-83.36722 40.25455, -83.36717 40.254...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACC</td>\n",
       "      <td>39159080ACC</td>\n",
       "      <td>A</td>\n",
       "      <td>JEROME 6</td>\n",
       "      <td>JEROME 6</td>\n",
       "      <td>00</td>\n",
       "      <td>G5240</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-83.23164 40.16109, -83.23154 40.161...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACA</td>\n",
       "      <td>39159080ACA</td>\n",
       "      <td>A</td>\n",
       "      <td>MARYSVILLE 4</td>\n",
       "      <td>MARYSVILLE 4</td>\n",
       "      <td>00</td>\n",
       "      <td>G5240</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>POLYGON ((-83.38459 40.21995, -83.38390 40.220...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACB</td>\n",
       "      <td>39159080ACB</td>\n",
       "      <td>A</td>\n",
       "      <td>MARYSVILLE 15</td>\n",
       "      <td>MARYSVILLE 15</td>\n",
       "      <td>00</td>\n",
       "      <td>G5240</td>\n",
       "      <td>N</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-83.39649 40.26222, -83.39638 40.262...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 348 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  STATEFP20 COUNTYFP20 VTDST20      GEOID20 VTDI20         NAME20  \\\n",
       "0        39        009  005ACR  39009005ACR      A     ATHENS 2-5   \n",
       "1        39        159  080ABZ  39159080ABZ      A   MARYSVILLE 2   \n",
       "2        39        159  080ACC  39159080ACC      A       JEROME 6   \n",
       "3        39        159  080ACA  39159080ACA      A   MARYSVILLE 4   \n",
       "4        39        159  080ACB  39159080ACB      A  MARYSVILLE 15   \n",
       "\n",
       "      NAMELSAD20 LSAD20 MTFCC20 FUNCSTAT20  ...  P0050002  P0050003 P0050004  \\\n",
       "0     ATHENS 2-5     00   G5240          N  ...         0         0        0   \n",
       "1   MARYSVILLE 2     00   G5240          N  ...       141       126       15   \n",
       "2       JEROME 6     00   G5240          N  ...         0         0        0   \n",
       "3   MARYSVILLE 4     00   G5240          N  ...        37         0        0   \n",
       "4  MARYSVILLE 15     00   G5240          N  ...         0         0        0   \n",
       "\n",
       "  P0050005 P0050006 P0050007 P0050008 P0050009 P0050010  \\\n",
       "0        0        0      336      336        0        0   \n",
       "1        0        0        0        0        0        0   \n",
       "2        0        0        0        0        0        0   \n",
       "3       37        0       12        0        0       12   \n",
       "4        0        0        0        0        0        0   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-82.09632 39.32211, -82.09627 39.322...  \n",
       "1  POLYGON ((-83.36722 40.25455, -83.36717 40.254...  \n",
       "2  POLYGON ((-83.23164 40.16109, -83.23154 40.161...  \n",
       "3  POLYGON ((-83.38459 40.21995, -83.38390 40.220...  \n",
       "4  POLYGON ((-83.39649 40.26222, -83.39638 40.262...  \n",
       "\n",
       "[5 rows x 348 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"This ipynb is to HD-analyze OH legisl with minimal county splits\") #start 10/8/22\n",
    "print(\"In version 1, we ignore municipality splits\")\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "import shapely\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "import math\n",
    "pi = math.pi\n",
    "tractPopFile = gpd.read_file(\"state_map_files/oh_pl2020_vtd.dbf\") #**CHANGE FILENAME AS NEEDED*****\n",
    "tractPopFile.head() \n",
    "print(\"I read in the Census 2020 pop data -- mapped onto 2020 vtds\")\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly):\n",
    "    simplePoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.type == simplePoly.type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y)         \n",
    "def plotCenter(t,geom):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n",
    "\n",
    "def makePiePoly(CENTER,angle,maxR):  #this is part of splitting 2-district counties; making a PIE-SLICE polygon that should capture a pie slice's tracts\n",
    "    gCx = CENTER.x\n",
    "    gCy = CENTER.y\n",
    "    pt0 = Point(gCx + maxR*math.cos(angle), gCy + maxR*math.sin(angle))\n",
    "    pt1 = Point(gCx - maxR*math.cos(angle), gCy - maxR*math.sin(angle))\n",
    "    pt2 = Point(pt1.x + maxR*math.sin(angle) , pt1.y - maxR*math.cos(angle))\n",
    "    pt3 = Point(pt0.x + maxR*math.sin(angle) , pt0.y - maxR*math.cos(angle))\n",
    "    piePoly = Polygon([pt0,pt1,pt2,pt3])\n",
    "    return piePoly\n",
    "\n",
    "def makePentaPoly(CENTERPT, DX, DY, LENGTH):\n",
    "    lengthRatio = LENGTH / (DX*DX + DY*DY)**0.5\n",
    "    DXR = DY*lengthRatio\n",
    "    DYR = -1.*DX*lengthRatio\n",
    "    pt0 = Point(CENTERPT.x + DXR, CENTERPT.y + DYR)\n",
    "    pt1 = Point(CENTERPT.x - DXR, CENTERPT.y - DYR)\n",
    "    pt2 = Point(pt1.x - DYR, pt1.y + DXR)\n",
    "    pt3 = Point(pt0.x - DYR, pt0.y + DXR)\n",
    "    farPt = Point(0.5*(pt2.x + pt3.x) + 0.1*DYR, 0.5*(pt2.y + pt3.y) + 0.1*DXR)  #a bump to clarify which is far edge\n",
    "    pentaPoly = Polygon([pt0, pt3, farPt, pt2, pt1])\n",
    "    return pentaPoly\n",
    "                \n",
    "def debug_pieCut2(T,TARGETSLICEPOP, TOLERPOP, TRACTLIST, TRACTCP, TRACTPOP, origANGLE) :\n",
    "    ANGLE = origANGLE\n",
    "    minX =  88888\n",
    "    maxX = -88888\n",
    "    minY =  88888\n",
    "    maxY = -88888\n",
    "    sumPop = 0.\n",
    "    PCPx = 0.  #population centerpoint xvalue for all tracts in the list\n",
    "    PCPy = 0.\n",
    "    for tt in TRACTLIST:   #this loop, find the population centerpoint, the max diagonal across the bounding box of the tract centerpoints\n",
    "        sumPop += TRACTPOP[tt]\n",
    "        cpx = TRACTCP[tt].x\n",
    "        cpy = TRACTCP[tt].y\n",
    "        PCPx += cpx * TRACTPOP[tt]\n",
    "        PCPy += cpy * TRACTPOP[tt]\n",
    "        if cpx > maxX:\n",
    "            maxX = cpx\n",
    "        if cpy > maxY:\n",
    "            maxY = cpy\n",
    "        if cpx < minX:\n",
    "            minX = cpx\n",
    "        if cpy < minY:\n",
    "            minY = cpy\n",
    "    PCPx = PCPx / sumPop\n",
    "    PCPy = PCPy / sumPop\n",
    "    sliceDiam = 2.22* ( (maxX - minX)**2 + (maxY - minY)**2) ** 0.5  #the \"2.22\" is for padding\n",
    "    if ANGLE == -999:  #snippet to find orientation from this tract to the tractlist centroid ...\n",
    "        #could replace with radialAngle = math.atan2(y2-y1, x2-x1)\n",
    "        dx = TRACTCP[T].x - PCPx  \n",
    "        dy = TRACTCP[T].y - PCPy\n",
    "        radialAngle = math.pi/2. * np.sign(dy)\n",
    "        if dx != 0 :\n",
    "            radialAngle = math.atan(dy/dx)\n",
    "        cutAngle = 0.5* math.pi + radialAngle  #we cut perpendicular to the beeline to the county center\n",
    "    else:  #we specified a cut angle (for some county pairs, there's a single obvious angle)\n",
    "        cutAngle = ANGLE\n",
    "        dx = math.cos(ANGLE - math.pi/2.)  #(dx and dy were based on the radialAngle, not cutAngle)\n",
    "        dy = math.sin(ANGLE - math.pi/2.)\n",
    "    dx_dr = dx / (dx*dx + dy*dy)**0.5\n",
    "    dy_dr = dy / (dx*dx + dy*dy)**0.5\n",
    "\n",
    "    guessedCenter = Point(PCPx, PCPy)\n",
    "    pentaPoly = makePentaPoly(guessedCenter, dx, dy,sliceDiam)     \n",
    "    slicePop = 0.\n",
    "    SIGN = -1.\n",
    "    sliceList = []  #list of HD centers included in the remnant to be paired\n",
    "    for tt in TRACTLIST:\n",
    "        #plotCenter(\".\",tractCP[tt].buffer(0.015))\n",
    "        if pentaPoly.contains(TRACTCP[tt]):\n",
    "            sliceList.append(tt)\n",
    "            slicePop += TRACTPOP[tt]\n",
    "    #plotCenter(\"X\",tractCP[T].buffer(0.015))\n",
    "    #plotPoly(Point(PCPx,PCPy).buffer(0.03))\n",
    "    #plotPoly(pentaPoly)\n",
    "    #plotCenter(\"orig\",pentaPoly)\n",
    "    #plt.show()\n",
    "    #print(\"for tract\",tt,\"naive guess leads to slicePop of\",slicePop,\"vs target\",TARGETSLICEPOP)\n",
    "    counter = 0\n",
    "    abs_dr = 0.2*sliceDiam #initial step size\n",
    "    dr = 0.  #dr is the distance (toward our primary tract) from the PCP to the current guessed center\n",
    "    while abs(slicePop - TARGETSLICEPOP) > TOLERPOP and counter < 9:  #use bisection method to optimize slice point\n",
    "        sliceList = []\n",
    "        dr += abs_dr * SIGN*np.sign(TARGETSLICEPOP - slicePop)\n",
    "        guessedCenter = Point(PCPx + dx_dr*dr, PCPy + dy_dr*dr)\n",
    "        abs_dr = 0.5 * abs_dr  #stepsize change for next round\n",
    "        pentaPoly = makePentaPoly(guessedCenter, dx, dy,sliceDiam) \n",
    "        slicePop = 0.\n",
    "        for tt in TRACTLIST:\n",
    "            if pentaPoly.contains(TRACTCP[tt]):\n",
    "                sliceList.append(tt)\n",
    "                slicePop += TRACTPOP[tt]            \n",
    "        #print(counter,\"= loop no for tract\",t,\". Current slicePop is\",r3(slicePop),\"with current center offset of\",r3(dr))\n",
    "        #plotCenter(\"X\",tractCP[T].buffer(0.015))\n",
    "        #plotPoly(Point(PCPx,PCPy).buffer(0.03))\n",
    "        #plotPoly(pentaPoly)\n",
    "        #plt.show()\n",
    "        counter +=1\n",
    "    if abs(slicePop - TARGETSLICEPOP) > 2.0111* TOLERPOP:  #allow some slop\n",
    "        print(\"wrong SIGN guess: the final piecut pop for tract\",T,\"is\",slicePop,\"vs target\",TARGETSLICEPOP)\n",
    "        SIGN = -1.* SIGN  #assume we need to flip the bisection direction\n",
    "        guessedCenter = Point(PCPx, PCPy)  #reset\n",
    "        sliceList = []  #list of HD centers included in the remnant to be paired\n",
    "        for tt in TRACTLIST:\n",
    "            if pentaPoly.contains(TRACTCP[tt]):\n",
    "                sliceList.append(tt)\n",
    "                slicePop += TRACTPOP[tt]\n",
    "        counter = 0\n",
    "        abs_dr = 0.2*sliceDiam #initial step size\n",
    "        dr = 0.  #dr is the distance (toward our primary tract) from the PCP to the current guessed center\n",
    "        while abs(slicePop - TARGETSLICEPOP) > TOLERPOP and counter < 9:  #use bisection method to optimize slice point\n",
    "            sliceList = []\n",
    "            dr += abs_dr * SIGN*np.sign(TARGETSLICEPOP - slicePop)\n",
    "            guessedCenter = Point(PCPx + dx_dr*dr, PCPy + dy_dr*dr)\n",
    "            abs_dr = 0.5 * abs_dr  #stepsize change for next round\n",
    "            pentaPoly = makePentaPoly(guessedCenter, dx, dy,sliceDiam) \n",
    "            slicePop = 0.\n",
    "            for tt in TRACTLIST:\n",
    "                if pentaPoly.contains(TRACTCP[tt]):\n",
    "                    sliceList.append(tt)\n",
    "                    slicePop += TRACTPOP[tt]            \n",
    "            #print(counter,\"= 2ndloop no for tract\",t,\". Current slicePop is\",r3(slicePop),\"with current center offset of\",r3(dr))\n",
    "            counter +=1\n",
    "\n",
    "        print(\"Neither SIGN worked :-( the final piecut pop for tract\",T,\"is\",slicePop,\"vs target\",TARGETSLICEPOP)    \n",
    "    \n",
    "    if T in sliceList:  #normal result; our target tract is in the piePoly\n",
    "        sliceTRACTLIST = sliceList\n",
    "        #print(\"there are\",len(sliceTRACTLIST),\"tracts in the pie slice which captured tract\",t)\n",
    "    else:   \n",
    "        if origANGLE == -999:  #don't print below debug when we force an angle. With forced angle, this would be 50-50\n",
    "            print(\"oops, we cut the opposite pie slice. Pass back the complement to the sliceList for tract\",T)\n",
    "        sliceTRACTLIST = []\n",
    "        for tt in TRACTLIST:\n",
    "            if tt not in sliceList:\n",
    "                sliceTRACTLIST.append(tt)\n",
    "        #print(\"there are\",len(sliceTRACTLIST),\"tracts in the pie slice which excluded tract\",t)\n",
    "    return sliceTRACTLIST\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "tractPopFile.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ae933c8a-74cf-491c-9e01-f4d11e14bbe4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 8941 vtd tracts for OH using Census vtds\n",
      "OH has 88 counties and a total population of 11799448\n"
     ]
    }
   ],
   "source": [
    "# EXTRACT TRACT GEOMETRIES AND POPULATIONS INTO LISTS, COMPUTE TRACT AREAS\n",
    "STATE = \"OH\"\n",
    "tractGeom = tractPopFile['geometry']  #for some states, replace with tractGeomFile\n",
    "tractNAME20 = tractPopFile['NAME20']  \n",
    "tractPop = tractPopFile['P0010001']\n",
    "tractVAP = tractPopFile['P0030001']   #USE VAP.  Can use ACS CVAP if more accurate data needed\n",
    "tractHisp = tractPopFile['P0040002']   #USE VAP.  Can use ACS CVAP if more accurate data needed\n",
    "tractBlack = tractPopFile['P0030004']  #USE VAP.  Can use ACS CVAP if more accurate data needed\n",
    "tractCountyNo = tractPopFile['COUNTYFP20']\n",
    "nTracts = len(tractPop)\n",
    "print(\"there are {0} vtd tracts for {1} using {2}\".format(nTracts, STATE,\"Census vtds\") )\n",
    "tractArea = [0.]*nTracts\n",
    "tractCPx = [0.]*nTracts\n",
    "tractCPy = [0.]*nTracts\n",
    "tractCP = [Point(0,0)]*nTracts\n",
    "tractCountyNo = tractCountyNo.to_numpy()\n",
    "countyNo = [0]*nTracts  #the tract's county number\n",
    "tractNo = [i for i in range(nTracts)]  #original row number in tractPopFile\n",
    "for t in range (0,nTracts) :  #from odd-numbered counties in US Census list to integer list\n",
    "    tractArea[t] = tractGeom[t].area\n",
    "    countyNo[t] = int((int(tractCountyNo[t]) - 1)/2)\n",
    "    tractCP[t] = Point(tractGeom[t].centroid)\n",
    "    tractCPx[t] = tractCP[t].x\n",
    "    tractCPy[t] = tractCP[t].y\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation\n",
    "tractPop = tractPop.to_numpy()  #to avoid panda overwrite grousing\n",
    "tractBlack= tractBlack.to_numpy()\n",
    "tractHisp = tractHisp.to_numpy()\n",
    "tractVAP = tractVAP.to_numpy()\n",
    "stateVAP = np.sum(tractVAP)\n",
    "nCounties = int( np.max(countyNo)+1)\n",
    "statePop = np.sum(tractPop)\n",
    "print(STATE,\"has\",nCounties,\"counties and a total population of\",statePop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6344566b-282a-4b8e-a174-4369489c9274",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now read in the 2020 voting data from a separate file\n",
      "I have read in the 2020 voting data for all 8941 precincts from 88 counties\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATEFP20</th>\n",
       "      <th>COUNTYFP20</th>\n",
       "      <th>VTDST20</th>\n",
       "      <th>PRECINCT20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME20</th>\n",
       "      <th>G20PRERTRU</th>\n",
       "      <th>G20PREDBID</th>\n",
       "      <th>G20PRELJOR</th>\n",
       "      <th>G20PREGHAW</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39</td>\n",
       "      <td>009</td>\n",
       "      <td>005ACR</td>\n",
       "      <td>ACR</td>\n",
       "      <td>39009005ACR</td>\n",
       "      <td>ATHENS 2-5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-82.09632 39.32211, -82.09627 39.322...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ABZ</td>\n",
       "      <td>ABZ</td>\n",
       "      <td>39159080ABZ</td>\n",
       "      <td>MARYSVILLE 2</td>\n",
       "      <td>356</td>\n",
       "      <td>204</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>POLYGON ((-83.36722 40.25455, -83.36717 40.254...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACC</td>\n",
       "      <td>ACC</td>\n",
       "      <td>39159080ACC</td>\n",
       "      <td>JEROME 6</td>\n",
       "      <td>414</td>\n",
       "      <td>341</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((-83.23164 40.16109, -83.23154 40.161...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACA</td>\n",
       "      <td>ACA</td>\n",
       "      <td>39159080ACA</td>\n",
       "      <td>MARYSVILLE 4</td>\n",
       "      <td>395</td>\n",
       "      <td>231</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>POLYGON ((-83.38459 40.21995, -83.38390 40.220...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39</td>\n",
       "      <td>159</td>\n",
       "      <td>080ACB</td>\n",
       "      <td>ACB</td>\n",
       "      <td>39159080ACB</td>\n",
       "      <td>MARYSVILLE 15</td>\n",
       "      <td>444</td>\n",
       "      <td>283</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((-83.39649 40.26222, -83.39638 40.262...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  STATEFP20 COUNTYFP20 VTDST20 PRECINCT20      GEOID20         NAME20  \\\n",
       "0        39        009  005ACR        ACR  39009005ACR     ATHENS 2-5   \n",
       "1        39        159  080ABZ        ABZ  39159080ABZ   MARYSVILLE 2   \n",
       "2        39        159  080ACC        ACC  39159080ACC       JEROME 6   \n",
       "3        39        159  080ACA        ACA  39159080ACA   MARYSVILLE 4   \n",
       "4        39        159  080ACB        ACB  39159080ACB  MARYSVILLE 15   \n",
       "\n",
       "   G20PRERTRU  G20PREDBID  G20PRELJOR  G20PREGHAW  \\\n",
       "0           6           7           0           0   \n",
       "1         356         204          14           0   \n",
       "2         414         341           6           1   \n",
       "3         395         231           4           3   \n",
       "4         444         283          10           1   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-82.09632 39.32211, -82.09627 39.322...  \n",
       "1  POLYGON ((-83.36722 40.25455, -83.36717 40.254...  \n",
       "2  POLYGON ((-83.23164 40.16109, -83.23154 40.161...  \n",
       "3  POLYGON ((-83.38459 40.21995, -83.38390 40.220...  \n",
       "4  POLYGON ((-83.39649 40.26222, -83.39638 40.262...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"I will now read in the 2020 voting data from a separate file\")\n",
    "VTDdbf = gpd.read_file(\"state_map_files/oh_vest_20.dbf\")\n",
    "vtdGeom = VTDdbf['geometry'] \n",
    "vtd_Trump = VTDdbf['G20PRERTRU']\n",
    "vtd_Biden = VTDdbf['G20PREDBID']\n",
    "vtd_GEOID20 = VTDdbf['GEOID20']\n",
    "vtd_Trump = vtd_Trump.to_numpy()\n",
    "vtd_Biden = vtd_Biden.to_numpy()\n",
    "vtd_NAME20 = VTDdbf[\"NAME20\"] #official full name of precinct\n",
    "nPrecincts = len(vtd_NAME20)\n",
    "pMuniName = [\"unassigned\"]*nPrecincts  #could be used later to build municipalities out of similarly named precincts\n",
    "VTDCountyNo = VTDdbf['COUNTYFP20']\n",
    "VTDCountyNo = VTDCountyNo.to_numpy()\n",
    "pCountyNo = [0]*nPrecincts\n",
    "vtd_CPx = [0.]*nPrecincts  #these two are the x- and y-coordinates of the centroid of each vtd shape\n",
    "vtd_CPy = [0.]*nPrecincts\n",
    "vtd_Area = [0.]*nPrecincts\n",
    "for p in range (0,nPrecincts) :  #from odd-numbered counties in US Census list to integer list\n",
    "    pCountyNo[p] = int((int(VTDCountyNo[p]) - 1)/2)\n",
    "    vtd_CPx[p] = vtdGeom[p].centroid.x\n",
    "    vtd_CPy[p] = vtdGeom[p].centroid.y\n",
    "    vtd_Area[p]= vtdGeom[p].area\n",
    "print(\"I have read in the 2020 voting data for all\",nPrecincts,\"precincts from\",np.max(pCountyNo)+1,\"counties\")\n",
    "VTDdbf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "49d970c6-4bb4-4a62-a858-1c847776546e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now create a dataframe with the voting data, then merge it with the vtd tract demographic data\n",
      "building a list of names of tracts for quick lookup\n"
     ]
    }
   ],
   "source": [
    "vtdNo = [0]*nPrecincts\n",
    "orig_vtd_GEOID20 = vtd_GEOID20 #for safekeeping\n",
    "for p in range(nPrecincts):\n",
    "    vtdNo[p] = p  #tracking the original vtdNo so we can connect to original geometry\n",
    "print(\"I will now create a dataframe with the voting data, then merge it with the vtd tract demographic data\")\n",
    "vtdDF = pd.DataFrame( {\"vtdBiden\":vtd_Biden,\"vtdTrump\":vtd_Trump,\"vtdCPx\":vtd_CPx,\"vtdCPy\":vtd_CPy,\"pNAME20\":vtd_NAME20,\n",
    "                       \"GEOID20\":vtd_GEOID20,\"vtdArea\":vtd_Area, \"vtdNo\":vtdNo } ) \n",
    "mergedDF = pd.merge(tractPopFile,vtdDF,on=\"GEOID20\")\n",
    "vtdBiden = mergedDF['vtdBiden'].to_numpy()\n",
    "vtdTrump = mergedDF['vtdTrump'].to_numpy()\n",
    "vtdCPx = mergedDF['vtdCPx'].to_numpy()\n",
    "vtdCPy = mergedDF['vtdCPy'].to_numpy()\n",
    "vtdCP = [Point(0,0)]*nPrecincts\n",
    "for p in range(nPrecincts):\n",
    "    vtdCP[p] = Point(vtdCPx[p],vtdCPy[p])   #in this context, vtd centerpoints are near-equivalent to tract centerpoints\n",
    "vtdArea = mergedDF['vtdArea'].to_numpy()\n",
    "pNAME20 = mergedDF['pNAME20']\n",
    "GEOID20 = tractPopFile['GEOID20']\n",
    "old_vtdNo = mergedDF['vtdNo']\n",
    "print(\"building a list of names of tracts for quick lookup\")\n",
    "tractNAME20List = []\n",
    "for t in range(nTracts):\n",
    "    tractNAME20List.append(tractNAME20[t])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "492287fa-8252-4741-9ef6-01271720f2f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the correlation of vtd area from the Census vtd file vs. the vtd voting results file\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I'll now check on the merging using the shape locations, flagging any more than 0.01 away after dataframe merging\n",
      "Oh no, mismatching tract - precinct locations for tract, voterPop,pop,dist 282 0.00238 0.00388 1559 1174 0.01\n",
      "Polk Twp POLK TWP 39033017ACJ 39033017ACJ tract, vtd names, tract, vtd GEOIDs\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here is the correlation of vtd area from the Census vtd file vs. the vtd voting results file\")\n",
    "plt.scatter(tractArea,vtdArea)\n",
    "plt.yscale(\"log\")\n",
    "plt.xscale(\"log\")\n",
    "plt.show()\n",
    "maxOffset = 0.1\n",
    "maxDist = 0.01\n",
    "print(\"I'll now check on the merging using the shape locations, flagging any more than\",maxDist,\"away after dataframe merging\")\n",
    "for p in range(nPrecincts):\n",
    "    if vtdArea[p] > 0:\n",
    "        #ratio = tractArea[p] / vtdArea[p]\n",
    "        dist = min(tractGeom[p].distance(Point(vtdCPx[p],vtdCPy[p])), tractGeom[p].centroid.distance(Point(vtdCPx[p],vtdCPy[p]) ) )\n",
    "        if dist > maxDist:\n",
    "        #if ratio > 1. + maxOffset or ratio < 1. - maxOffset :\n",
    "            print(\"Oh no, mismatching tract - precinct locations for tract, voterPop,pop,dist\",p,r5(tractArea[p]),r5(vtdArea[p]),\n",
    "                  tractPop[p],vtdBiden[p]+vtdTrump[p],r5(dist) )\n",
    "            print(tractNAME20[p],pNAME20[p],GEOID20[p],vtd_GEOID20[old_vtdNo[p]],\"tract, vtd names, tract, vtd GEOIDs\")\n",
    "            plotPoly(tractGeom[p])\n",
    "            plotCenter(\"t\"+str(p),tractGeom[p])\n",
    "            plotPoly(vtdGeom[old_vtdNo[p]].buffer(0.001))\n",
    "            plotCenter(\"p\"+str(old_vtdNo[p]),vtdGeom[old_vtdNo[p]] )\n",
    "            #plotPoly(countyGeom[countyNo[p]])\n",
    "            plt.show()\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "03096495-6395-46b6-bfa7-e11e1a9666d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I moved Put-in-Bay on top of Sandusky.  I will now finalize the tract center locations.\n"
     ]
    }
   ],
   "source": [
    "#special N. island precinct -- move it to Sandusky (closest vtd in same county)\n",
    "PIB = 3739\n",
    "Sand = 3622\n",
    "tractGeom[PIB] = tractGeom[Sand]\n",
    "vtdCPx[PIB] = vtdCPx[Sand]\n",
    "vtdCPy[PIB] = vtdCPy[Sand]\n",
    "vtdArea[PIB] = vtdArea[Sand]\n",
    "tractCP = [Point(0,0)]*nTracts\n",
    "print(\"I moved Put-in-Bay on top of Sandusky.  I will now finalize the tract center locations.\")\n",
    "for t in range(nTracts):  #need to update center points now that I've moved at least one\n",
    "    tractCP[t] = tractGeom[t].centroid\n",
    "    tractCPx[t] = tractCP[t].x\n",
    "    tractCPy[t] = tractCP[t].y\n",
    "vtdCP = [Point(0,0)]*nPrecincts  #update vtd center points after any moves above\n",
    "for p in range(nPrecincts):\n",
    "    vtdCP[p] = Point(vtdCPx[p],vtdCPy[p])   #in this context, vtd centerpoints are near-equivalent to tract centerpoints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e3ecf28b-3416-4666-b1d1-b7addf5a48ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lets visualize the unpopulated precincts and build the list of populated precincts = tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will skip tracts [840, 1008, 2974, 3730, 4458, 4634, 8197] in building the county-by-county map of OH\n"
     ]
    }
   ],
   "source": [
    "minTractPop = 10\n",
    "skipList = []\n",
    "populatedTractList = []\n",
    "print(\"lets visualize the unpopulated precincts and build the list of populated precincts = tracts\")\n",
    "for p in range(nPrecincts):\n",
    "    if tractPop[p] < minTractPop and vtdCPy[p] > 41.0:  #lake Erie only; ignore interior lake tracts\n",
    "        plotPoly(tractGeom[p])\n",
    "        plotCenter(p,tractGeom[p])\n",
    "        skipList.append(p)\n",
    "    else:\n",
    "        populatedTractList.append(p)\n",
    "plt.show()\n",
    "print(\"we will skip tracts\",skipList,\"in building the county-by-county map of\",STATE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6d9e0115-02f6-4457-9058-722a7e7048db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We have pushed island precincts into the map and eliminated lakeshore tracts. Now build the county-level map\n",
      "working on tract 0\n",
      "working on tract 500\n",
      "working on tract 1000\n",
      "working on tract 1500\n",
      "working on tract 2000\n",
      "working on tract 2500\n",
      "working on tract 3000\n",
      "working on tract 3500\n",
      "working on tract 4000\n",
      "working on tract 4500\n",
      "working on tract 5000\n",
      "working on tract 5500\n",
      "working on tract 6000\n",
      "working on tract 6500\n",
      "working on tract 7000\n",
      "working on tract 7500\n",
      "working on tract 8000\n",
      "working on tract 8500\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total of all county pops is 11799448.0 vs a state pop of 11799448\n"
     ]
    }
   ],
   "source": [
    "print(\"We have pushed island precincts into the map and eliminated lakeshore tracts. Now build the county-level map\")\n",
    "dummyPoly = Polygon([ (0,0),(1,0),(1,1)])\n",
    "countyGeom = [dummyPoly]*nCounties\n",
    "countyPop = [0.]*nCounties\n",
    "nCountyTracts = [0]*nCounties  #how many tracts found in this county\n",
    "countyTractList = [\"empty\"]*nCounties  #list of this county's tracts\n",
    "for t in range(nTracts):  #now loop through tracts, assign each to county, build county polygons\n",
    "    if t%500 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "    c = int(countyNo[t])\n",
    "    nCountyTracts[c] +=1   #found another tract that belongs to this county (we include skipped tracts here)\n",
    "    countyPop[c] += tractPop[t]\n",
    "    if t not in skipList:\n",
    "        if countyGeom[c] == dummyPoly:  #this is the first tract found for this county\n",
    "            countyGeom[c] = tractGeom[t]  #seed the county geometry polygon\n",
    "            countyTractList[c] = [t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "            countyTractList[c].append(t)\n",
    "countyMAP = []\n",
    "for c in range(nCounties):  #now build the state map from the counties\n",
    "    plotPoly(countyGeom[c])\n",
    "    if countyMAP == []:  #is this the first county we are adding to map?\n",
    "        countyMAP = countyGeom[c] \n",
    "    else:\n",
    "        countyMAP = countyMAP.union(countyGeom[c])\n",
    "plotPoly(countyMAP)\n",
    "for c in range(nCounties):\n",
    "    plotCenter(c,countyGeom[c])   \n",
    "plt.show()\n",
    "print(\"the total of all county pops is\",np.sum(countyPop),\"vs a state pop of\",statePop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5e6fe400-5d6a-4281-a1e4-c2ee3ebcd4a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us visualize the county pops relative to a district pop and their 2020 R-D leans\n",
      "OH has 99 districts, each with an avg pop of 119186.34343\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Let us visualize the county pops relative to a district pop and their 2020 R-D leans\")\n",
    "nDistricts = 99\n",
    "statePop = np.sum(tractPop)\n",
    "avgDistrictPop = statePop / float(nDistricts)\n",
    "print(STATE,\"has\",nDistricts,\"districts, each with an avg pop of\",r5(avgDistrictPop))\n",
    "countyDistricts = [0.]*nCounties\n",
    "county_vGOP = [0.]*nCounties\n",
    "countyVoters = [0.]*nCounties\n",
    "for c in range(nCounties):\n",
    "    countyDistricts[c] = countyPop[c] / avgDistrictPop\n",
    "    plotPoly(countyGeom[c])\n",
    "    countyTrumpers = 0.\n",
    "    for t in countyTractList[c]:\n",
    "        countyTrumpers += vtdTrump[t]\n",
    "        countyVoters[c] += vtdTrump[t] + vtdBiden[t]\n",
    "    county_vGOP[c] = countyTrumpers / countyVoters[c]\n",
    "    if countyDistricts[c] > 0.2:  #skip the tiny counties\n",
    "        COLOR = \"red\"\n",
    "        if county_vGOP[c] < 0.57:\n",
    "            COLOR = \"purple\"\n",
    "            if county_vGOP[c] < 0.43:\n",
    "                COLOR = \"blue\"\n",
    "        plt.text(countyGeom[c].centroid.x - 0.2, countyGeom[c].centroid.y,round(countyDistricts[c],2),color=COLOR)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5bd82dc8-949d-4ba0-8fbe-d42738878d02",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lets see if countyMAP is a multipolygon.  If so, we will take the biggest piece as the true MAP\n",
      "by golly, it is!  I'll now plot the main piece of the map\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"lets see if countyMAP is a multipolygon.  If so, we will take the biggest piece as the true MAP\")\n",
    "finalMAP = countyMAP\n",
    "if countyMAP.type == \"MultiPolygon\":\n",
    "    print(\"by golly, it is!  I'll now plot the main piece of the map\")\n",
    "    maxArea = 0.\n",
    "    finalMAP = dummyPoly\n",
    "    for geom in countyMAP.geoms:\n",
    "        if geom.area > maxArea:\n",
    "            maxArea = geom.area\n",
    "            finalMAP = geom\n",
    "else:\n",
    "    print(\"Nope, it's a vanilla polygon.  stick with original county map\")\n",
    "plotPoly(finalMAP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e5f3c139-e486-473a-8d97-1b00ec4f3430",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now build each county and precinct's list of neighbors, about 4 min for 9000 precincts\n",
      "done with county neighbors\n",
      "working on census vtd no 0\n",
      "working on census vtd no 400\n",
      "working on census vtd no 800\n",
      "working on census vtd no 1200\n",
      "working on census vtd no 1600\n",
      "working on census vtd no 2000\n",
      "working on census vtd no 2400\n",
      "working on census vtd no 2800\n",
      "working on census vtd no 3200\n",
      "working on census vtd no 3600\n",
      "working on census vtd no 4000\n",
      "working on census vtd no 4400\n",
      "working on census vtd no 4800\n",
      "working on census vtd no 5200\n",
      "working on census vtd no 5600\n",
      "working on census vtd no 6000\n",
      "working on census vtd no 6400\n",
      "working on census vtd no 6800\n",
      "working on census vtd no 7200\n",
      "working on census vtd no 7600\n",
      "working on census vtd no 8000\n",
      "working on census vtd no 8400\n",
      "working on census vtd no 8800\n",
      "all done finding each county's and each vtd's neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now build each county and precinct's list of neighbors, about 4 min for 9000 precincts\")      \n",
    "# start with county neighbor list for efficiency\n",
    "neighborCountyList = [-999]*nCounties\n",
    "for c in range(nCounties):\n",
    "    neighborCountyList[c] = []\n",
    "for c in range(nCounties):\n",
    "    for cc in range(c+1,nCounties):\n",
    "        if c != cc :  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"done with county neighbors\")\n",
    "\n",
    "neighborList = [[]]*nTracts\n",
    "for n in range(nTracts):\n",
    "    neighborList[n] = []\n",
    "for p in range(nTracts):\n",
    "    if p%400 == 0:\n",
    "        print(\"working on census vtd no\",p)\n",
    "    for pp in countyTractList[countyNo[p]] : #for efficiency, look only in home county and ...\n",
    "        if tractGeom[p].intersects(tractGeom[pp]) and p != pp:\n",
    "            neighborList[p].append(pp)\n",
    "    for cc in neighborCountyList[countyNo[p]]:  #... and neighboring counties\n",
    "        for pp in countyTractList[cc]:\n",
    "            if tractGeom[p].intersects(tractGeom[pp]):\n",
    "                neighborList[p].append(pp)\n",
    "print(\"all done finding each county's and each vtd's neighbors\")\n",
    "\n",
    "def isContiguous(TRACTLIST, NEIGHBORLIST):  #this function checks for contiguity\n",
    "    listLENGTH = len(TRACTLIST)\n",
    "    wasCounted = [0]*len(NEIGHBORLIST)\n",
    "    currentList = [TRACTLIST[0]]\n",
    "    countedThisRound = 1\n",
    "    wasCounted[TRACTLIST[0]] = 1\n",
    "    while np.sum(wasCounted) < listLENGTH and countedThisRound > 0:\n",
    "        countedThisRound = 0\n",
    "        newList = []\n",
    "        for T in currentList:\n",
    "            for TT in NEIGHBORLIST[T]:\n",
    "                if wasCounted[TT] == 0 and TT in TRACTLIST:\n",
    "                    countedThisRound += 1\n",
    "                    wasCounted[TT] = 1\n",
    "                    newList.append(TT)\n",
    "        currentList = newList\n",
    "    contiguity = False\n",
    "    if np.sum(wasCounted) == listLENGTH :\n",
    "        contiguity = True\n",
    "    if np.sum(wasCounted) > listLENGTH:\n",
    "        print(\"uh oh!  somehow we overcounted tractlist neighbors\")\n",
    "    return contiguity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2f621b6b-6658-4537-a133-0514c0b78c5f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lets make sure we have enough neighbors for the island precincts\n",
      "We have a lonely precinct no 988 ; its neighborList is [935]\n",
      "We have a lonely precinct no 1006 ; its neighborList is []\n",
      "We have a lonely precinct no 3750 ; its neighborList is [3741]\n",
      "[925, 926, 927, 933, 935, 937, 986, 988, 1006, 3619, 3620, 3621, 3623, 3624, 3625, 3638, 3737, 3740, 3741, 3742, 3744, 3749, 3750, 3753, 3754, 3755]\n",
      "I will manually add neighbor 926 to island 1006, pair 988 with 3619, pair 933 with 3750 \n"
     ]
    }
   ],
   "source": [
    "print(\"lets make sure we have enough neighbors for the island precincts\")\n",
    "for p in range(nTracts):\n",
    "    nList = neighborList[p]\n",
    "    isSurroundedTract = \"no\"\n",
    "    if len(nList) == 1:  #checking if this tract is surrounded by a tract.  If so, a buffering will contain it\n",
    "        AREA = tractGeom[p].area\n",
    "        buffPoly = tractGeom[nList[0]].buffer(0.8*AREA**0.5)  #0.8 is conservative; will miss some surrounded ones\n",
    "        if buffPoly.contains(tractGeom[p]) :\n",
    "            isSurroundedTract = \"yes\"\n",
    "    if len(nList) < 2 and isSurroundedTract == \"no\" :\n",
    "            print(\"We have a lonely precinct no\",p,\"; its neighborList is\",neighborList[p])\n",
    "            #plotPoly(tractGeom[p])\n",
    "            #plotCenter(p,tractGeom[p])\n",
    "            # for pp in neighborList[p] :\n",
    "                # plotPoly(tractGeom[pp])\n",
    "            # plt.show()\n",
    "printList = []\n",
    "for t in range(nTracts):\n",
    "    if vtdCPx[t] <-82.7 and vtdCPx[t] > -82.85 and vtdCPy[t] > 41.35 and t not in skipList:\n",
    "        #plotPoly(tractGeom[t])\n",
    "        #plotCenter(t,tractGeom[t])\n",
    "        printList.append(t)\n",
    "#plt.show()\n",
    "print(printList)\n",
    "#for p in printList:\n",
    "#    print(p,neighborList[p])\n",
    "    \n",
    "print(\"I will manually add neighbor 926 to island 1006, pair 988 with 3619, pair 933 with 3750 \")\n",
    "neighborList[926].append(1006)\n",
    "neighborList[933].append(3750)\n",
    "neighborList[988].append(3619)  #Hey, this ain't Tampa Bay\n",
    "neighborList[1006].append(926)\n",
    "neighborList[3619].append(988)\n",
    "neighborList[3750].append(933)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ac1e23c5-2f0b-466e-8179-dfcf36acf390",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now figure out which vtds (tracts) are on the map boundary.  About 2min to run\n",
      "working on tract 0\n",
      "working on tract 1000\n",
      "working on tract 2000\n",
      "working on tract 3000\n",
      "working on tract 4000\n",
      "working on tract 5000\n",
      "working on tract 6000\n",
      "working on tract 7000\n",
      "working on tract 8000\n"
     ]
    },
    {
     "data": {
      "image/png": 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bGMH97oMGvoJCYoq3kOp0Y/r9mP5Aw/1+t4BV9nrVXgDsTheJWd0wgkH0QAA9GEQPBqxbwNo2G2YkCmgGH48vpiyx9T+WX1VWMbnKmv2RXYsPWXckQBHUdEukRvmWWDtcPOBtLqze0aaf5VZ0Lo0bQUF905+JjWBo+501cw543AT/ej7jJAJYCUL28s143t3AlCgnrxnfwIw2hdFufvnUS2z+ehH9xkzA7nJFJggh2pGnspbaj/PxrSkj1zaNWg78JaQqFmbU1TckKxYluQdRGclk3zUZVJolKMdDsgKwc/0aMoDtt9+Oee89KKZptT6bAKb1szKt2W1ddfWA9RkTKZKwhKlO1ynzB/EZJn7DwG+Y+EwTf+Pjhm2fYeANBtm6ZhVJ2zcytXdPTF3HMHQMXUcPBjENHT2oN7uv8PioRiMpuzuGYWIYBoZhWMlHw7ZhGLhc20nPWEJcnAPQMc0AhhEI3W9+8++YurPdXrdipHPi13/DpnsPXXGENbNjwOeldPfOsM5t11UyKlxUJRs4VAd2zY5dtTfbtqt27Jqd4tplTQcOPhc0B9gc1r3mBM0ONidoDuq++BsxeLHpTX9Ye9w9gOYJy1/tT/CbwHXNypwJDoYrdpKr/FyMA7e/HNve2VTHfU33gcnk+4rQfDo6GvP6XsfzG6yJCopd8WR4rYTKa0ahKxp2XwLRBdUUqMUUZFvLvf/IP/KgP4+9e/fyn//8h/r6es4//3z69esX1s8xXIqiMGjKSe16TiEiIRgI8Mhtv+VCR9OlGkVRKB92Kv7KtWTtLQ6VJ/36Ju4o+B2Ohm4pXsXBX3Ku5v9SBxENKNrxkZwcSL3D+lIVHQhCdU2r9YOqQp2h036fMG0jCUsY9nn9TF2+mTq9DXMVx2bhGJQEL9yLGkZGWpczCCMqhuLNWw5Z78SpbwPg8x14f4tkRQFNU1FtSot7a8jaQe41hZ2rijBVG84ZZxCfGo3icDTc7CgOB2rosQNefx6AQYNHMPic81FtdjS7Hc1ma7q3NT1+6IEbcGytZHzqGBZc8Y9Wfz67Nr8LC2ZTZrOTetGLh6zr++o5YoJFbFp3EruU7rzlGUGVEct6dRwvOB4AzUHxCZfzfOGHxNluI8GZxBcXfY5da7pkotf4CVZ4saVFMcAELcZKbMYB55sm45ZtQo1qmougMVmpr3Lxsu9ZUsxoAALmomaxneq9gL2/+yr0WOseg/6jdOo8dbz77rvU11vfYl5++WVyc3OZOnUqPXr0aPXnI8TxwDRNnnzyJeq/fJ0UZzfYrx+s7tDJ/fNNZPTtS7CyEs+qVUSPn4AWGwNYf7+bdq3h9VoXP+7Vg+gDDEs+3hSNGkLpjl1k9u5Hv3ETUVQNRVOt4c1Yfd1M0wRFYclrL1OtmlweFRWxeCVhCcOGWk8oWUmyaThUBbuq4FRUHKpi3fbbrqqrY7XPwO90MejEU3DYbaiaDVVTUVUN1Waz7rWm20fLVgAwdEAufQYMQlXV0E3TtNB2Xn7TRERjx/wHVXWgKHZU1Y6i2sn/7BvqyhPJGePmjJ+eg6oe3reHhdOvw8y1+mfEX3oFmeMHHbJ+6uv/ogydrPQsckaObvX8ttgooBIzoIcVj90ZB4DDaL1+fHI6lBQxdtQYJg6exR/69GHxtjJy00+BxNsByAAeq55Djb+GoalDWzQBa3EOtDjHAc+vKAorJg6GmmRY7bD6zgCmAaWrYhhfOY+ijHEopsG61MJDxqrvrWPnk8v43NG0mFpycjKVlZVs27aNbdu2MXDgQKZNmEJWTvdWX7sQx6olm5Zx+YvlpPjhUqDcV8AH+U+RnDON8+deiRbb9PdqS0oibvr0FucY1Hskf+rEmLu6zAGD2VRSzJDTT6fv2ecfsu6HC98l0NBpP1IkYQnDp+Xu0PamE4e1Wr+oqoqRq3cDMPOaG3HaW/8xL1yxGgPI6d6dE0444aD1duzIwe7YjdN5BfHxLWOJTaulrjyRqITAYScrAHt6zgxtx2S1PveATdNA1wl66sM6v+ZwYALBQHidvewOK2FxhtFaZXNarRsD+uZAX+tS1bT+LRcQy0nICeu5DyouE25ej3/jUkofepi6LQUE6xUc1JJYtoQVfbII50/MgY3k5GRSUlKYMWMGGRkZlJeX89VXX7FmzRo2b97M5s2bOSttCsPPGY+je9yRxS3EUSQY9PL83IsoSXAAV1PuSOGr5EkMMwsYddpJDJowuVmyIsLXOLWBrof3xTHSJGEJg89oWycjZb8FuA0z3MtI1nMorcyNYTRcalAOchVRaWjlNPUj6xjVuMjV1LEB4nqmt1rfptlA91NaWszO1SswdAPT0DFNE9MwMU3Dalo0Gu63lAJQ7i7msTWPtXp+b1U+/4eVsJif3dXQGcwEzJb3+Q39XYIHuW7WnuIyqFq6G/fqQhoXXl84JIeg7cD/jtvdq+kXPwqsSNHRyVPLOO+885pd+induJfSjXubHevcG6Dk0TU4+ycRN607zj4Jx03nQHF8qiut54U7lgE3E1O8iMFxmxg4chtj+g7g9PEPkhwjicqRUBvep0xJWI4d52ck8VpRBdlOe+uVaVqeG8AIt0d1QzVVDfe66oHP23i4cYRrg2sNn7exWUlh1bfb7OCHTTu3sOnP88J+nkpfFf9b+2Sr9ZyGwU2AHVC++lt4J7d1zptZ+ZNPhbYV4NQNu9mTEk/GyFH0vfOuhj48Tf13UBRUVWXDhg288cYbAJyV0rwVa9nSZezzl4Uez+w3mWx7T+rXluDbWolvayXOfolW4tI3EeUIWtOE6Irqt1bwwoNrQo9dUeM4W3mIaZNGM3DQr1BVSVaO1K7oBNYNOIHasirqNm7GME1008QwTQzTwDCsL926CTvSehDPoS9xdzRJWNog/iDfmn9IVZqSjnCGgBm6TrBhxkEl7ITlwBo/uEq2x7Lk9W2YmDT83xAQTa0eholpgmlYv6CmQajcp8UAUPrMc/Ds/aHWEQwd02hoKTF0aNjOqCqnolsKano6jvR0VFVD0TQURUFRFRRFbdi27nXTYK+vkJwxw+mVHhPWa/tv0mbGen30jM9pyAqVH9zT9Dg2A3I7Z0rsnAWvsvuSn4QeO3P7ccL06aRcfTVaQkKrxyckJBAdHd2srPHXZkTqAEaMH0XO6P6oqkr8jJ7ULNpL3cpifNur8G2vwpYaRcy4TKKGp2FLjFT/fSHah7cuwMePfsXeXTA5VuPrWuvb/4XnDSD5tIXSqtiO/pQ9HLKHA/BEcSsjQU+/HFswwE9NM0JLH0rCEpbGP49wL7Ls33cknBaWf/zl/v0eHdmlHLvL+uOuKoimqiD/8E/U+O0lfxfe2tbPkwxM3raPbtf+moSzZh3+8x6FokaOZOCmjfh37sTeoweqI7xvfo2taXFxcei6HhrCHvT4yasvAgXSElLo2TcHo9JnzcprQuykbrgGJFGzeB/+PW6CZR6q/7eL6v9Zi6RoCQ5sadFEn5COq3+SXN8XXVrjrNPfri9k+xObqdrvcvbyOp1hLoX+PeJImtpLkpUOlFDnRsGag0VtmINFMc1QWXF8MkGbnWBiasRilIQlDIESqyPplloP/T5ZjQaoJmimtRR3471qWvMrKgAN00C/cfftuJSGfi0KoCgoKA0tIQqFfoNqZ1MLw4rv17Nm0xarNaLh0sH+23aHF6cT/IHPWbe+oXluv6QoNmcPqXW9iYuZQFLSeBqfllADhFWgqkpDiwehVhBVbXpMwI+9bA/dLvodqs1mdY5RrRYSVM2KX7WGvykN91pcHI6cnA78l+i6FEXB2dDBty3HgDX/yt133/2Dndadb3MlRRtWtOm8erUfvdqPb3sVYCUwil1DjbWjumzYkl1EDUvFkRMvHwAioj5cupo57+7mZZLIRiM7zsan7gB1DVe0AyZ4h6WT+bMhkQ30GHVdjzSeyC/luh5p/KnfSLy6wT/3lbHX6ydgmlzRLYXhcVbrb/+vvscdNCL6niEJSxh65NcThYnHplDbhp9YkjdIxc5th5yHpWbQmGaP9+3bd8hz9svVSEwEw9hFScmuA9ZJHbKRfn2H0qtX2z5AW5Lp2ztSZmYmDocD/yGmxe6hp6DYVetSl9pwya8h8aUh6bSyZQWjLoDp3a/znE2FoIFe3XD+Mk9oV+03BWjJLmLGZRI7qRuqQxZCFJ2nTtf5+9Pn8XzZyej0ZzsG3Rqm049SFYqrn8NuBjj/1lvJGSnJSkf56ceX8afS1QCsSx1LdTDICNNkZdKPiNtaRrL9ddYlZ6NrDp7W4fvY/jDuwYjFq5iRnGe3HbndbhISEqiuriY+Pr5dz12/poT8N7ZQ6VBIuGwgugkGoBtWZyTDBB1rWzfAX15P9fIi+ikm8ac4GkbIAKY1WsbqU2KNavEHAny6fCWTTzyRqGirpcVsmB658WY0jKwxTZOgXoWqfk9mRkqz/i77j0zStBjS009H0yI3wY8ITyAQwO/3t5h3BxMIGKiu8DNkvdpH4fzloCp0v28KAEZ9gECpB6PWjxkwMPw6/j01eNaVYfqt5EaLd5ByxWAcPWS4tOh4hQVbOfWTphlqazbPA9PJu8TycS8nQ88fwGiPRlqPWFSZ3K1j3dl6H7sfqrphNYlp7ftlNtzPb2lhCYOW5CJGh/hoJ1n9Wr9+591eSVn5PmwZ0WSe0PokakPbvGpuhBajEe3Obrdjtx9k9Fkb36zNxuH3qoJpmNR9V4Re7Ud1aWixDoLlHnx5NWCaxIzNwJ4Rg/uLPPRKH2UvrCf9hlHYkttnjaF6zz527nqMGcUXAXB3vwx+0SOrXc4tjl67XzifuoLFkN30u/A757P0tdtZMeVv3DqtfZejEIdm9D8DdeuH+J0JrD3xLuIqdzBw5cPN6gTtsaw/6V5GfmKtnZaoylpCXVtj40W487E0VJPuAaJTNf5+Bg1KHllNoPDgs1L6tlURfUI6GTeOovjh1WwpqmfXQ6uYNG/iEV+jrqvbSd/lbuCiUNkd24vpGRXNaalt/0Ynjn6by6v4y+PP8VjZIlxJwWb7Lpm7gERn+7aKi/Co2SfA1g9xZA1nbFwUxA3F7PEU+WuWUrdrDST0hPSBOPcUsak2mxRbFa3PytVxJGEJQ2iOizZOIAeSsYjOE6xsGpa4f7KiJTjRkp0oNhUt1oGW4KBm0V7qV5XgqQ9QmZPAht214PXi/dcmTryoP46ow39reGb7MmAweIKgKWBXOa/gU4Y+9Cjr+kxg6F9eQbHJW8/xIlhZiTl5Er8BdpFOr+llfO4r5V7fWK65bb4kK5Fka2hR3f2VdQP21iXwRt5wIA6oBJY2VO6DisEv6z1EtT75eYeQd41wNCQsYU9aK0QEKLamS0iOnHiSL+yPluw6YIuJPTOGslc3s/DbEnz75eGblxaRv6mSEy/Kpc+otMNqbbl2yEX89ekl2PLqQDV5MO1Zhr+0AXd9NLYt35NXdiU9n38xlLQ09s/ymCYxmnT+PRbowSB7N60natMWyv94Z7N9dw+8gxGjxvLXCWOxSeIaWUN/DAWrwVsVKqov0CHPwGmDjMSmqvnlYJgqHjWRSPWOlN+WMLS5haWxmjSwiE5k7xZL4rl9UV02okceuuE2emQ6sTV+fK9sBSDeoeKKd+BVFNylHj56ej3pveIYObMn/UantylxWbxuj5WsADNZyVn7FrOjPiO0v37FKvZcMRt7v76433gTgOt/czOb+o4nxa4xMCaKE5NiuaFnBnaZwfeoUb9qFW//8zGKS4tJqPMyefs+friymGv4cObfeFNE4hMHkJANFz7frEhdsRRW3Utyn4FcePdfQ+WP/vRifHV1Ef1cO6Iu2PPnz0dRFG6++eZQ2dtvv81pp51GamoqiqKwZs2aVs/zwgsvhOYa2f/m9bYy815naXzTPDYGVIljlOrQiJ3QrdVkpVH0CU1JxKV/n8qF90ziJ3eMY8yZOdgcKiV7alj47AZevWs5G78uIOA/9Hojpmly2bPLuPa1zQwgj9tsrzLf/iwVW6zRbwWP+yl43E/p7wIUDlxBvrGAspsCuM8JUpA+AIDygM7XVbX8eVcR9+4sOMyfhOhMgX372HbyKey59DKS12wA08TjaP5d2JaeTtqcm8h55eUIRSnC1bggohHseusLHXYLy4oVK3j66acZPnx4s/K6ujomT57MhRdeyC9+8YuwzxcfH8+WLVualblc7TNi4Yg1XhJq64KC8uVQdGX7/To3tqDYHBrjf9SH4Sd358tXtrBnfTmVhXV899hHKKv+AkDJ6aPZO7kXZ4yfRWJUGks27GRNoBcfrC9hS3ENAFvoyf3BnhSZyfzS/E+zpw30NAn0bHpy/0ATT8B6c+yullJGOl7DZH2NB3FwJYXFOOwaCcnJR7ykx+Go3bGVolt/R3DbDsyGuYR6l1VTGhdNWXw0hQkx6KpK4tVXMfaa6zs9PnF4yvfmAVC8c1uz8sapMyI5E8phJSy1tbVcdtllPPPMM9xzzz3N9l1xxRUA7N69u03nVBSFzMzMwwmnw32zp4IrcYMPUuf+j4Y1gZtuZtM2WHOsKMDVtXBLhGIWojX7t5gseW0RAV8QI2hQVVJHZVEQw1Ax9BjAQYK7aZLC9I9Wkv7RSq66+l3+EixiaiDA7uBMtgSvbvEcZWYCyW9swvXkPRTweqi8pkQj6DJIirf+agzcQAp7jTQa/5KmJMV2yOs+GtWtL+ODl7/nuWSFLRXNL7Sc5HuW7QN2MiClO73ThzEi+ySmZZ9EfFTHfOHTjQA/++fp3PbXA7eANbaurM7J5Oq/P0Vyt+wOiUN0jDULPzjwjsbLwhG80HBYCcsNN9zArFmzmDFjRouE5XDV1tbSq1cvdF1n5MiR3H333YwaNeqg9X0+Hz6fL/TY7Xa3SxwHkpjS1MWorA3Z5adBnyQsossq31cS2l63yKBhylyg5dDjysT+LcpO+t7grqnJvFJYTKzi4Q+zBjGmVxJ7Kz18vORb3st3UIsL5/3dcJ56DwnFAaoTrDln4tKbNzdH1X1DjaN3s7Jf9czgeLWlvJaPiqootZtM+18hSUUebsUDFS3rrhy5HYDl9Xks353Ha7s/IOgexU9cZzLLuYaRQ4ZgqOkovcaiJSWFWtOCwTqqVn2JvnsfUfG9qNy2gzc/Xk1J92TO67+Jz22xJK6yExUXzdSf/ZQixwo8RX9nfqGD8kP0LTojKZtu9/8Ze8bx++93NFrx37fYtfo71P06vj/1yytDVwq8dbVAw6SnEdLmhGXBggWsWrWKFSvatr7JoQwcOJAXXniBYcOG4Xa7+cc//sHkyZNZu3Ytubm5Bzxm/vz5zJs3r91iOJS0xKaE5d1LR4PZsCiUqqCGViO2OucqKHy+s4z7F+/AmSIzzYquyzRqQts2exWqZqKoJg6nSmafOKLiXdgdJt0Hdie15yTuv/4zCnw9uXnNGwBUxSiM93p5PTiNzbm/wF9ex4YCN2vzq9hZZi246CRgPcHCP9An0c7q4Qk4gir2uBzqfQWYhpfvPInUJF3WLDa77uOvD/wOrzeK1NR6fvnLe7DZjt1FHPeuXMeO1d+ydtt2vqyOZVWi9WVNG5bEL4t0Dr1gR0u2+NX8cde7AJS9F0vpunh01c7akTdSlJLBd/1S+Wqojd8pTzIodSOOTQrJz9g406/AdvjLyCDzdj3H654H8HjK+c9867122NVwQ7qPPxVE8bM5Gs/9oynxjJ1+CtkPPIAaE97q66Lr+PKl51j5/jstymsry1uU+et/2JW687QpYcnPz2fOnDksXLiwXfuXTJgwgQkTJoQeT548mRNOOIFHHnmEhx9++IDHzJ07l1tuaWq/cLvd9OjRo91i2l9jS5hdUxgxvPXLVjsCgYb6Mq206LoSM5LwVt4GwC0L3jvkSKDindsxDZ2Pc8aTHCzC6dzJh91zKS06HUwbbALIC9W3awoX9zP4WdG/uHXwtewycnmi9mUmTXiZqGjr79Qw/NTV5zNYy+Tvy5pfL08PlOP1Wgl/WVk0Tz75B6699i7s9i7Sr+0wmZ5qtj5+PftiT8CenMWurUW4PTq+bYtCdSYD6+MG49ec9K23vs1mo7KIOCoxGXHfVBRV4dmvdpK37Atafsw0V7ndSiBWjL6N+pgsXAGYssnLxh7x3Js4j5e5EP8gk7ppBnGfaDjiAvT2mRi0nMfBCCokOAz+kOXhnsIo7r1I5fbXrXrd5s+XZOUoFfQ1DXCZfNHl1FSU4a2tbVZn67IlADiiIvdFvE0Jy8qVKykpKWH06Kbp5nVdZ/HixTz66KP4fD5rHZQjpKoqY8eOZdu2bQet43Q6cTqdR/xcYcWjNHY2Cq9+sGH4syZDMkUX5opp6iNimgaKcuC/3aDfz/8e/Rtx/kqu0NaRd/JF9OmZxbkNK3zbVAWtYWSfXVMYkp3AqB6JJEY7mPPJd7xmOxeA8xLiuHPZSXTvfgUZ6WeRmDiGuNi+xAGrJg7m+X1lXJaVzOLKWirqUnCv+AbDsN6iysqiefbZPzF79m+JiYnc8vaHyzRNygvyWfLE57jMMxlfsYRH91Wgq3awWVN0NQooNnRFIzAwgXSHHbAufWsopMc7Q9Ms/PzEPnBiH35XcyGl/mJcvhrmrvoXy0sX4S28kPXK2ww1t5GUW0fp9/HoWvP3y6CmYCOIgYLmV0hMHEv032bj6Z3Jb7/9IztSPyLZO4qykjX4tSBLh1aQbTdIA1JtJg9NnMM73dfw/tm9uGHkDWj26M75YYp2N/2n17Fh0ecE/T7K9+Vz2nU346urJTohMfRF5vFfXIbHXR3R0bJtSlimT5/OunXrmpVdffXVDBw4kNtuu61dkhWw/rjXrFnDsGHD2uV8R6ppZv7w/qGCuvWNw6ZJwiK6LlVr+vP/z/13WU2JpknjYLjCIPhN8NTWgBqFkjOQ3n3SOLGHwamnhreC7pTorbzWsFj0NmUguqmyd+9L7N37Ejn9/kjfnlcCkOW0s33xXk7aYq0c21sto09SIU4zQHq9tdBacXEUjz76Fy6+5EJyeo054PN1RdVltTx39/9wJ20MveMm+k9DVdahY11Sqc8ZzIxBo/mmuo7vqqP5z09PIjcrDrXCS2W5NXoyZkwGzt4t+xdFx8XTC2u22H92O2G/Pb8HILW+gmTTjjb3Pr6tGQoZKewa2Y2oqHrOryxh/MxV1oJzp+936OB3GQIMaX6lDgCPJw9VjcLpTGN6y65N4iikqCrnz72T1+fNZfPXi9j8tdXi13/8ZM6+Za5Vp/GLe8SibGPCEhcXx9ChQ5uVxcTEkJKSEiqvqKggLy+PggKrB3njUOXMzMzQKKDZs2eTnZ3N/PnzAZg3bx4TJkwgNzcXt9vNww8/zJo1a3jssceO7NW1k7b+QwUb3vFt0sIiujCbw4EzOgZffR271qwEwJ+Uhi+9B+w/TDamaer0vPx88vLzmTBhQotVVU3TwO3+HlVzgWlSVPwuyb5vOZ33+YyZnMqH9Ol1LXv2PAHA7u13sfGbLzlz83/ANLnQGMsjzu+Z7f8dq4z+jKrpR7zqw+Xx4G1ohvZ4onjh+ffpl/sel/7kT6gRGM4brk3r3ubzxxIBsCuJzfbFmi5uNBfwSuo19Bs4mEmTJhETE8PEH54kLZqMGw8++CAs0cmoQP+H57N/fvHHwzxdVFTPI4tHdEk9BrdsICjcvjUCkRxcu890+9///perr24a3njJJZcA8Kc//Yk777wTgLy8vGZvNFVVVVxzzTUUFRWRkJDAqFGjWLx4MePGjWvv8A5LaDRXGy8J2aQPi+jCNJuNi+fdT8G2LQT0ICu37KCwvOUwlPGDB6KoKmk9e/He/z7A4fAQCJbi9Vmd7wzdy/oNv6a2dhOmGWhx/BU8z80pOxk54p8AvLJnA1NYDMDZm9+2KilwprYcgLedd5Lj/Tdu00U8vlCysr/t2xTu/sPtnDS9L9Om/7xdfh7h8AbqqKjbTaxq4HRmomlRaFo0oFDv9uEu9fLUyw8BJlOmvAI8DYBq2kioGEpsRiGnjxhHWqwb15TVXHcMdyQWR5cf9lkBUG0HuGoSwUtCihnJWWDakdvtJiEhgerq6hbf/I5U6a58ys44FYBdPQdjKgpghkYLhbYxwTQJBA28QYOiyTO56YGb2zUWIdrTunXreOutt5qVDRkyhL59+5Kfn8+4cePIysoCIBAI8L8PJxIbW9mm55g2dT02m5V01NXtYNm3p4b2jfq+muSqlknOr5KeIbVyIwD9tm5jxNq1FGdk4ImKYs2QAWj1tThLrbEzfcaM5bRr5hCdkNimuMKxtbiGN5fuZsRmNyOqDLwqXDMumn3xbm7mL/SnabLLQF0yuxb+ieKU7wAYNGgRZuFoaguH0/OUPxMdm0y/vr8lM/Ocdo9TiMOxcuVK3nvvPQAG989l27dfN+00TewOB6nde6KoKsU7tkF9LT+9/U7Sc/q0axzhfn7LWkJhcOlNb6i98zaGfVzvr/8D3Nzu8QjRHgzDaJas2Gw2zj33XIYMGYKiKJxwwgnN6vv97lCyoihNbx2mGTzk8yxaPBS7PRlFseH3lzTb98XIqURXDWeSVkuC7gFPJYy5mkdzZ1JeXo6qqiRERVHz2WckLfyEvcUFRO9pPiP2zu9W8MR3l5N71j6mnfEv4pOHNq3/dRiCQZ38jeVsWV7MVX11a1qa8TF89EUtqX6T/m6djQlJzOM+XjF/HDrOFl2JavOSUDEcd+IGNm2ahtNZy9DJAWaeuh5FkRZX0bXs3LkztL1x6zZIar6sRwDIq2qY/iApHZLSqW+Y1TgSJGEJgyu+aTRFwS9/C5otdJnImoDFGiHRuG0vKSLlladJkIVnRRfm3++NZ9iwYUyYMIHs7IPPSur3N02Vf9K0jaE1RwKBamy22BajjD7/YkAomQkEGi81qcTHDaVnz5+RkXEWpmkedDh1SkrTGvYJs2aRMGsWr1181kHjO2HDw9RsqKKGJRStfxfXzoWk//LnpN8U3mJ77tpKFvztTmo27gDsOOIvg779QvsNBVbY4IsU63UmqgFyut/I8vf2oftiqS8ZQNCTjANIKZmEz1WCrnmZOOZ8SVZEl5SRkcGGDRsAmDZtGtUlRdRWVGAYOoZhhG6mYbKvxlrQ1BYduRmoJWEJg+pous58yo1XorQyGsq7aRO7XnkazK63eJQQjRpnilZVlfPPP7/VFZkDASthMQwllKwA2O0tR64AOJ0ZeL37GDb0caKjc9ANL9FROc3qt2UV6NqKlpNYHUzS4B/xacY0xj97L7bhZ5E4JQfV1jJpqPXXsnjvYl7bvIBVpashB84syCS9ClSlmHMr+7NECzBhs4elxVaC91wwEduoDLKcdnpFjeWrwiXUVTf/1pneM56gP4bRZ+SQ2u3APx8hIi011ZoiICMjg5NPPvmQdf/6179SW1vbbqOBD4ckLB2h8c1cbznxkhBdRTBotX7Y7fawEodg0EpYTDO8NyxNsyYRs9liiY0dcJhRNolNTiE5uwcV+/JDQ7ABFNXAERfge+V1hpsXAbDTZxC0x+A64WrqP9qH+8Pd2NJdxOSkocY7eLHyVZ7xvHLA54nxWq/PW/0Rua99SC6gOYZAzGkAqLrJhMSmb5lX3T8F0zSpq/JRXlBHTIKD1O5xBzq1EF2KzWalAOH8/Td2d43kyDxJWDqA0jg6SJcWFtF1GYaVUIf7BhRoY8Jia0hYgnrL0QeH6+oHn6C+ugq7y8UXLz7Dus8+ZtKFV+J1/I/a+kVsTlxI5Xc/Q/EOY2RUNLGJg61YFDuU6tSVFgFQlVYKDfPP5cTnsNu9G4DUKgcx3sa3xabxCEZwH2k9Y0npHsfQqS0vmymKQmySi9iko3smXnF8aUvy0fh+0ZZW0fYmCUtHaGhhMQ1pYRFdV1vfgIKBNraw2KxWCD1YdxjRHVzjaCC7w5q5tXD7FgZMuJK0uNl89Pjfubj3RNgvb9ANHU3VCKpBkk7qjVEfZFzRCbzBQgD+r9eN3Lju/wBIq2o5e3ZGnwGcedNtJGelt9gnxNGs8W/fOEo+qyRh6QDSwiKOBm1t4g0ErMQj3C9YWqiFpX0TlkaOaOv8O1cuZ+fK5aHy13bdz4kZF9Atuq8VR8MXiBp7JTmnWtfps7e4YZlVvzFZAcgsb95Ccv7cefQeORohjkVKw3tASUkJ7z7yOzBNTNNkm+6hxuFEdcaiNPxneKykJpLJjSQsYagPNo2O+OSac0BRMBsnk1MaGo4b7k0FbN4gPQFdbzm/hBBdRWFhIQC1tbU88sgjmKZpjQhoeNNq3G68z8xcSY+eYLPV8+Wi4UDD6DgUQN1v2yoPBq3hkO3dwtJo6EnTqSoqwFdXG4rZNAxMw6AmWE3jQtFuKjAVk/hJ1qKLpmnS157DSdVjyXMWhs6XlphOanVx6PGEH/9EkhVxTIuqbVqwdHWzZD2axq8xZsN/jWrMGjJpfRHgjiAJSxhq8OG3gSMIPb7eEfZxbtuh56cQIpICgaaEury89RE49fVNb2h6G1pNoqI6ZhX1hPRMZt302wPuC5TWU/y3laAppPfvhxk0MHcZFP9jFbrbh1EX5DYaZuTWFOzdYkmZMQDbxZFbiVaIzpYZb+N8PqTSnonSYzyKovBdXT5LfFbiPilrEgYGhmnwXcl3VNoqmR01O2LxSsISBlt0NPderNGvwGRU2kjsqgamgmI2LYyoAEpDEhrQA3xfspYNfWy8HqmghWjFgAEDqK2txWaz0atXL5SG+YRUVW2x3XTZqBan04emuQCradi6tGRY38IaZn62tg1strgOS1gORYuxg6qAbuLd1HK5AcWuEjUslegRaTh6J6A6ZNIkcfxRFIXhbIYEE2Zbi2Xad3zIP5fcCsBbF7wRWlds4r8nUhuoxaZGLm2QhCUMUbYoNvVU2NRT4c7Ln8ehHXr9jzJPGX98/WRk7UPRlSUkJHDKKae08ajUDomlvanRdlJ/OpRAcR2KXUWxqda9XUOLc2BLi5IkRYjP5ln3ZU2zR/dOtKbdt5nWlw4aLg7pDfOKaarMw9KlqfvNUmmGsWaz0tDuYphHR89rIY5Frn6JuPolRjoMIbquHuNh74pmRWpDgmL1zWz61h00rC4OmiIJS5em0PSPFk4S0izBOcTU40IIIUTE5EyBpY9Cav9QUeOnla4o/N8r01hoVBNnGAQaLg3ZIrhesiQsYdg/4Qhncev9ExbDNCKakQohhBAH5Eq07su2wvbPAJNoTxWOoEpNxUz+a7iwxWyhAhVMhTStmISaUojNiki4krCEoc2XhPZLcAwMNCRhEUII0cXY9pso8eXzAYgGHrSncWWNNWdRoHJiqEoBOlUBJ2mdGeN+JGEJg4pKd18GI+r7s+S/H+LSGv6R97/U0zBEyMSaWfO0yklsjtoVVouMEEII0ekyh8OQ86Bse1OZojDedEBNU9EoVyGrvVnoaJTbMyVh6cpUReWe/F+REUiBovCOGcDl1Kr1mLqJNLAIIYTocjQbXPhCi2IXcPOnW3no023YVIXrLjyL37+znrJaX/hTXXcASVjCoKkaaXoyALtSiwhqDR1vGxpPQv98DY9thkZOeQaxRjR2U37EQgghji5zpueyuaiGj9YXcc1LKyMdDiAJS1hM00Q1rLRk0jXnoMUfeh4WM2iw7w9fNx7c0eEJIYQQ7UpRFO4+fxgfbigKTYoKUB3B6TokYQlHsOlfywyEsaDh/i1mhiQsQgghjh67dz9BecViDFNBmXYdfrcdpT6I6VSJdrqBxIjEJQlLGMz9kw4tjOt3zYZBd0BAQgghRAeoqdnEjp1/DT2+37GDj1LPopoE0ikmx35lxGKThCUMiq0pAVHsYfSg3T+nkYxFCCHEUcLw+po9TqWMy3kBAEV3YKufA3ERCAxJWMLTxl7RiqJYSYsJYUzbIoQQQnQJMa4B9PrmLryJ20kZN5FAaTVEGdSvK8LuzsQ2MjZisUnCEiYDEy9+qosqUFwapmliGkbD4rQmpgmmaYABhmlSrdQTYzqlhUUIIcTRww+u2p64anui7wWVKABi6Wbtj+BKM5KwhMEwDf7p+tx68NKS8A5yQIzp5MbAWDScrdcXQgghIshT4wdP8KD7TSNIsDgfe+qAToyqiSQsYdD15iODFNNaDnH/RRGbP1YIKEHqFB8exY+LmE6LVQghhGgLb12A5/7vKwASHD5OSanBv6cKvWoP9p4TUV0J+LZ+RHDvcpSfPRaxOCVhCYOqNq0ldMsttxAfH9/qMffeey+BQCCizWdCCCFEa/Rg09wq1X4npW/8Ea8rCQAlbwVJP7mEyk+X4/RVEsmOmZKwhGH/xQxttvB+ZI3HGEbkJtkRQgghWhOT4GT8yclsfetrsgu+ZsmU+5tX2AaMmYuq++nl0XFFJEpQW68ilMNYO6HxGFn8UAghRFc3fGIyo75/FNUMhMpcgWqcATfOgBsAQ3MQSOwWqRClhaWtwk1ADifJEUIIISLB0bMngzZvomSPm+/nfwfAz547L7T/+VuXUO/2gxa51XwlYelg0sIihBCiKzINg6K77iJ69BjizzgdxWbDFWsP7S9bswYwMU3TSlYAVZXVmru0I7kkJIQQQnRFwdJSqha8RtWC17B3yyJ69Ggc9qaeIq89WdHyIE8VEJnJ4yRhCcP+ycdf/vIXaNaRtnkLSmNNU7WazfTgwce0CyGEEBGz3xUANToaTBPnttfp79pGvn8UYKAoKmCimDrJtjySolKA7hEJVxKWMKmeOoyohvlU1IP3VW6WvgSDGPW1HRqXEEIIcTjsmZkMXL8OMxDAZ4dh/xoOwJvphcz0W51vvxk3F4BJy+dbB6kzIhIrSMIStujdmzDtDs79zR244uPAtPqnWAmqdY0P08TEKnvvwfsIuKtxOByRDl0IIYQ4IMVmQ7HZsOlNo4PKNQ2wHocSlQaFukpWZwa4H0lYwqQASsBPt5wcYhKTWq1vNw2CpszBIoQQouuzqTauP+F3fLBhNZM8z7A0YTgFznRMlNCVg60xOZyX0DdiCcsRzcMyf/58FEXh5ptvDpW9/fbbnHbaaaSmpqIoCmvWrAnrXG+99RaDBw/G6XQyePBg3nnnnSMJrf1JJ1ohhBDHINM08Xh2c7J9E38Ymc5lU3/Pb0bcyA2D7uBXg/7AjQ23R3pejj+CI18Pu4VlxYoVPP300wwfPrxZeV1dHZMnT+bCCy/kF7/4RVjnWrp0KRdffDF333035513Hu+88w4XXXQRS5YsYfz48YcbohBCCCFaEQxW89xN1+KvsbowjIsKMs78AgOFIHa8uFBMk/KkNGKHzQGOosUPa2trueyyy3jmmWe45557mu274oorANi9e3fY53vooYeYOXMmc+danXvmzp3LokWLeOihh3j11VcPJ0QhhBBChMHrK8LvsRGIT0b1edB1E8XQMTUbwdgENEXFVDXSAn6iq/2QGpk4DythueGGG5g1axYzZsxokbAcjqVLl/LrX/+6Wdlpp53GQw89dNBjfD4fPp8v9Njtdh9xHIeioGBGcNEnIYQQoiM4HX2oyR0XVl2/HrmBJG1OWBYsWMCqVatYsWJFuwVRVFRERkZGs7KMjAyKiooOesz8+fOZN29eu8XQGsM0UICnbvw5tqiYhl64qjVHS8M2itLwWMFXUwPITLdCCCG6traMZnXGxXdgJIfWpk63+fn5zJkzh5dffhmXq33Xa/zhzLCmaR5ytti5c+dSXV0duuXn57drPPsrLS3FtDutuPw+AtUVBKoqCFSW4a8oxV9eir+sGH9pEb6SQnzFBWAamIA3qHdYXEIIIUR7uPbaa0lPT2+1XoUncp9pbWphWblyJSUlJYwePTpUpus6ixcv5tFHH8Xn86EdxsJImZmZLVpTSkpKWrS67M/pdOJ0Otv8XIcjNTWVut6D0Lz1DBs6lCiXq2neFdNouDdD96ZhsH7d9wQ0O87YuE6JUQghhDhcWVlZ/PznP2fz5s3sLq7iqS+3omGiKQbDsmLZXlRNpeHkspiEiMXYpoRl+vTprFu3rlnZ1VdfzcCBA7ntttsOK1kBmDhxIp988kmzfiwLFy5k0qRJh3W+9qYoCqrdga7ZOOW8C4iPb71JbMP996N7PJ0QnRBCCHHkHA4Hw4cPZzhw02c1ofJnZk/nknu/oB4Tu3ZEs6EckTYlLHFxcQwdOrRZWUxMDCkpKaHyiooK8vLyKCgoAGDLli2A1YqSmZkJwOzZs8nOzmb+fGsGvTlz5jB16lTuv/9+zjnnHN59910+/fRTlixZcmSvrh01Xp5qa58UWQRRCCHE0WgYGmdiZ++93/ICsQQxsfsid0mo3VOl//73v4waNYpZs2YBcMkllzBq1CiefPLJUJ28vDwKCwtDjydNmsSCBQt4/vnnGT58OC+88AKvvfZal5yDRTrRCiGEOFb5dlVTvmAz3ySm8QQxnI2D1IZUwYZCWgS/hB/x1Pxffvlls8dXXXUVV111VZuOAbjgggu44IILjjScDtPWFhZJbIQQQhxN9GofpU9931SgKRRmR+MakUbyJ/mYXh1rWGxkyFpCYZJLO0IIIY5lWkLTQJbYyd2In9mL7i4rTSj4Yh8mekSXqZGEJVwBayHDrxZ8QlTUD4d0Ky02Aw1Lc0uiI4QQoqsx/X4869djBoNA02dVsGIrGAqBohqq3t1lzS+mKgQK8lEcKRFdVk8SljDZTI2AorOqeGObjlN9rdcRQgghOtPm4SMOud9zoDEvqh39ho+wZ8Z0TFCtkIQlTCcGBrFHLUWLc6C6bK1O0x8s85JixBDniO6kCIUQQojDp6WkoDhjML0BMLE+5Rr6YxrVxWAEMINuoFtE4pOEJUy9nJn09KSScfVo7OmtJyH7/vQNZkCXS0JCCCGOCnpFBc5ROZQNHUPSKSeRO35E6DNs24lTCZaWyiWho4Gi0LalDxsrS74ihBCii+n5wvPkXXU1AM7cXAy/j8CePHyrVhK3aiXBfz3F5zEpFI+ZyvirL2rqbGsYEYtZEpZwNSYe4Q5XlmHNQgghuqiYCRMYtHkTYE3DMePBRbj37GVc0UbGFW9iZOl2utWV023RO/gXvRM6zpRRQkeBxn+ktuYhcklICCFEF/b4lzvYUVoH0Ul80GcyH/SZjDPoY2LhBk4s+J4xxZtxGNZoouKARk6E4pSEJVyN+UpbG1gkXxFCCNGF/fzE3vzl4y3Nynw2J1/2OIEve5xAVMDLmJLNqKbJ3PTMCEUpCUubFX7+PWbSfisa/KAFpfGRqhvWtiQsQgghujCHprLolklMe/CbA+732F18lT0SgD8eLYsfHs+89bU4cKKtC7bpuGDAj40fTjQnhBBCdA3vvvsuq1evwcYJBNEOWdeGdLrt8nYbG0n1ZaLZ7CiairJ/08kBLhMF/X7KfQUkqIMkXRFCCNFlud1uFAUGacVs1tMJomEe4PJAqlKLPVgPxHd+kEjCErb8wBZWFyzkgtvvodfwkS32L3n9Y/asXdvwSKFo9yIAxmpXdF6QQgghRBsZDUOVT0p2886cqzEMg6BuhPaZpsljjz2Gp74eTT0pYnFKwhKmsvw9AGxdvpr6mv33KOi6zrdvPXKAoxRM49DNa0IIIUSk3HnnnaHtmpoaPv/8JVxRuwGVgL8Cmw3sjjRSUtbii43MlPyNJGFpo+8/eYvvP3nroPvTe0/G5nRRvMuNastEc8gFISGEEF1LadlnFBW9S+/eHioqVXzeWHTdhma7h0CgoZICQR2CHujTxyoyjFIgIyIxS8JyGFSt8fpd884rCZn9ueLPczEMkyeu/wKgeV8XIYQQogvIy3uOqqpv6d4Duvdoud8w4jCNwQR1MPQ6oqLXAxAbG7mrBpKwhMmVdAsA594yiuz+SYeuvP9kLZKvCCGE6GIMw3/QfYmJ4xk18l+oalOK8NWSCfj9pbR99tT2IwlLmKIT7NTU1OJ2u1HzdVQFaw4WBRSloR1FUVAVMEwwlACKaZOJboUQQnRBVuIxbOhjpKefTlX1Sjz1ecTG9icubsgB6ivNjosESVjCVOpYR316Ca+9/214B2SALRCLydSODUwIIYRoI7d7DQDr1t+AotgA1fryrWiAyv/M03jHPJsa4kihApv5R7qTz0uGJCxdnu6shSANyaVCsyzzIK0oQXstqDpg7/D4hBBCiMNhmsGG+6ayHWRTo8QBUE4yKFBMFnlGGsmRCBJJWMLmiNLw1cC1v7yWrKysA9YxTRPTNAn4A8z/83zAulwkhBBCdCXTpq7B7y9DVZ2gqGBa862AjmkaJNUHOXNdLQDXZdlYUBqkMgiaLS5iMUvC0o6s5jQFRZUkRQghRNdls8VhO0jyoZsmZ367NvT4nKxu/HP7q9i1ZKB/J0XYkiQsHUxaWIQQQhwtSv0BLl6zA1Wvwu7djCNYwOXvLSZeLwfA7Z0IcTkRiU0SljDV1FjT2xYXFx/0klAj04xcpyQhhBDicAQNk2FfbyCx+G5SfFsPWCdV83VyVE0it070UaqtyYi0sAghhOhq9GCQoh3bqCjYi9/rAaA6qKPo1dh/kKxEObuFtjVFJo47aqSlpbVaR1pYhBBCdGWfPvs4679YCIDN4eSiW+aQFRfgvn79+UtRIppeFarr8RWEtlU9cl/CJWEJ0+703Wx2bGbhwoWoqCiN/5kK+/+noqKYCnqmToYnQ1pYhBBCdDmVhftC20G/jzcfuI+Ygbv4Nt3B2/l/5b7sZ9kctYt4PZaAEiSoBMnxdSOjNhZSIxOzJCxh2hqzlTrqwj/ADmWuMnR0bPJjFkII0YUYhg7AxAt+wtI3X8Vv2CjflUOW8wRijWjuy7+pxTF6xS7s53V2pE3kkzRMrigXNZ4afj3o12RFZWGYBgaGdf+DbY/u4W8b/4apmNLCIoQQost4/5Fv2b2uHEU9E0fscJa++VZoX5zHzlK1mIBpYlcUdNPEZ0LezmUMzCohefa5OLIis1IzSMLSZpP6TWJg8sBD1qn11/K3jX8DwIzgugtCCCEEpkn+8zfw+sd5oSLNNR6baxKqLZu42FJK7Pv4oo+HopQ9PFo1jD4VI4jJdnLGzESmj/9tl/jyLQlLmBoTDyWM5Zf3/4eVDrhCCCEiyjT57uvVQEqoSPd+S3xqL2b97mYyevcFYODm13lk9UtsH1rIpZMvY3Sv9AgFfGCSsISpLYnH/kmNYRodEY4QQggRUlFYx87VJSR3iyU2ycnezZWomoJmU9HsKr0Su7Hbl40R2APoDJo8izNvmt3sHOcPvIjzB14UmRcQBklYwhRqYQmjWUxVmqa3kUtCQgghOtqXr2ymcHs1AIrSfCFDyw04YiHL9h0n/vQE0k6Y0ekxHimZOK6NwrkktP/EOrqpd2Q4QgghBPVuf2h7/2Sl94hUcoY3jUMuDI5hR15vTOPo+zItLSxh6vN9GZdtNvn6/QvZEm1NHqcA5n75i4ISak+5oVZnS3cF42K5JCSEEKJjGcEDJCAKnPbzoWh2Fb83yItzv8HvCbLyoz0E/QZTLsrt/ECPgCQsYfrpQoPUGgAfsLfV+n2BE9eb2O7wgauDgxNCCHFcM3Try/GpPx/C1uXFaDaF7gOT0ezWhRSHy8bPHzyRTV8X8sXLm1n7eT61VT5O+8WQLjECKBxHdElo/vz5KIrCzTffHCozTZM777yTbt26ERUVxUknncSGDRsOeZ4XXngBRVFa3Lxe75GE167iTScAu84eSd6Vp/zgdnKLG1g/XJfkhEIIITpYXbV1ScgZbWPm1YOZftVgBk3KanbpR1EUBk/pxogZPQDYsaqEd/62KiLxHo7D/jRdsWIFTz/9NMOHD29W/sADD/Dggw/ywgsv0L9/f+655x5mzpzJli1biIuLO+j54uPj2bJlS7Myl6vrNE24NBcGPqZfdy/OPn1arb/pxUHWhgxrFkII0Unee3hty0IFVFUhxZ7HGfH3MEkpY3y6Hbvqo7SyD/UlC4lOb32dvEg7rBaW2tpaLrvsMp555hmSkpJC5aZp8tBDD3H77bdz/vnnM3ToUF588UXq6+v597//fchzKopCZmZms1vXdHQ0nQkhhBAAmGDoJgnsIU4tQVUM7KoPgDT7TrQVj0c4wPAcVgvLDTfcwKxZs5gxYwb33HNPqHzXrl0UFRVx6qmnhsqcTifTpk3jm2++4dprrz3oOWtra+nVqxe6rjNy5EjuvvtuRo0addD6Pp8Pn88Xeux2uw/npYTPaOg8K/mKEEKILuaGJ0/BNE1Mw8QwTAy9ads0rITFteBuKLbqm7YolKAHAOeKB+H020Hr2l0Y2tzCsmDBAlatWsX8+fNb7CsqKgIgI6P5WgMZGRmhfQcycOBAXnjhBf773//y6quv4nK5mDx5Mtu2bTvoMfPnzychISF069GjR1tfSpuYwSAAit3exgPlkpAQQoiOpygKqqZis2s4XDac0XaiYh1ExzuITXJiK27qr6Kc+Zdmx5of/KbLf161KWHJz89nzpw5vPzyy4fsX/LDHsemeehFACdMmMDll1/OiBEjOPHEE3n99dfp378/jzzyyEGPmTt3LtXV1aFbfn5+W15K2zUmLJrWSsUGR0mvayGEEMeJ3NOatv/7KwCCUdk8VvQOj//vRyz626sRCiw8bWr/WblyJSUlJYwePTpUpus6ixcv5tFHHw11mi0qKiIrKytUp6SkpEWry6GoqsrYsWMP2cLidDpxOp1tCf+wmaaJGQgAUPnQ7dgS40BRQbVuiqLu91gDRevymaoQQojjzCX/hrtTmhXtqugV2l6/PZMRxXUkZsR0dmRhaVPCMn36dNatW9es7Oqrr2bgwIHcdttt9OnTh8zMTD755JNQ/xO/38+iRYu4//77w34e0zRZs2YNw4YNa0t4HaehdQWg/N2lbTxYZroVQgjRBez5ukVRtqP5tCNlbt+xkbDExcUxdOjQZmUxMTGkpKSEym+++Wbuu+8+cnNzyc3N5b777iM6OppLL700dMzs2bPJzs4O9YOZN28eEyZMIDc3F7fbzcMPP8yaNWt47LHHjvT1tY/9Wkti+8Wg2G2AYZX/4GY2bvuqiUoJYHPJpSEhhBBdQPZoGH8d3vX/pcZVimGqZFRUc036JbxX+Udeie3PL/smtX6eCGn3LsG33norHo+H66+/nsrKSsaPH8/ChQubzcGSl5eHqjZ1n6mqquKaa66hqKiIhIQERo0axeLFixk3blx7h3dYFLudQZcUAib831aIC+Py1rwkkJWahRBCdBXOWIzT7uPP37rISVtFZs8tzOFJqklkorGYWwYloqld90u2YprHRmcLt9tNQkIC1dXVxMfHt+/J9QDc3bB41I2r4JM/woAzYdRlBz+mMWEJN8ERQgghOsGCBQvYvHkz3Xuso3fvNVahcTbTZzwUkXjC/fyW1ZrDoTetgskjJ8Dm9+Hd6+HOBPau/4pgffUhDj4m8kEhhBBHqZLdO9GDgdDjWafOpLtDoWR1Kps2TmX7tnHYPdMiGGF4uvYsMV1EVek+Eg+yr/ubZwFQqqRQ5uqFN74PWnp/hsvlICGEEBFkGgZ/v+xczIaJT2decyODTzyZNR+9R/XaFTgBT7WTetVGwuWdM+r2SEjCEoaN+aVM2u/x88HTOEtbRppSTamZQJpSTZpZTpqnHDyrQjMJCiGEEBGjKKFkBeCTpx/hk6ebz2+m+n2Az5qeo4uThCUMA3MHkPe/NKIVH1+d+Qnz3tnBvOCV/HKyjVtnnUpBSRFFO9dRs3cTZtlWnFU7SPXmkW/rySmx0n9FCCFE51MUhREzz2DtJx82K3cEgszYuCf0eNPooQw68aROjq7tpNNtGCrr/Iy6+xMAdt53JmorvahX7qnkx098Q8/kaBbfenK7xiKEEEKEKxgI8I/Lz2tWNiy/hB4VNc3KSs4cz7QHX+jEyJqE+/ktLSxhUPebZt8wTdRWVkDUDSsHtGldd3iYEEKIY5/NbueWBe9RvGMb9e5q3v3rPWzLSMJwdmNrzgwUWzf67VpIzw+XwIORjvbQJGEJx355x/Q/LsShKKEkRgVUxaqiKAoq4HFZ6w3Z1a5/TVAIIcSxTVEUMvv1B+DX/36XF6+9jg2OfKj/CICNKfD1iOncE8kgwyAJSxiigEQUqjDZo4cx1b7PustMOPgCkUIIIUQklFW1XCx4cGZmBCJpG0lYwmDTVF4ihp0YxE3viWlTMUwTw7Cm4jdMMA2TgNtP3apilCgbSefnMqFPSusnF0IIITrR+b1u5u09DzUry1+/Bm9dHa6YrrmOEEjCEhZFUUhCZTQq3U7sheo68I/NX1BLyaoKVJuDbsOyDlhHCCGEiCS76uTi3rdRoFbwkb4E1e8lGJ/EZx9+wKwLLop0eAclCUsYmg2kCmudhWNi4JUQQohj2G61FMMRgxFltap4zK49UER6hYbDaEpAFOUQ/6CN+yRfEUII0VXZrM+qjba9ADROLde3X78IBRQeaWEJhxFeC8uhchkhhBCiM+0qq+OO/6yn1hdkTX4VALnpsWjBeqpcGpXJU6kelEiCv54/bd7O8OHDIxtwKyRhCYPZLGE5RMXGhOXYmItPCCHEUez2d9bxzY7yZmXbSmqtDa8BBQGc5T6qp2byo2t+gqZpEYgyfJKwhMGoaVqtueTO16yWlMYbgKKgKBDwJQLREPS3PIkQQgjRSarrA6zbWx16fO7IbkzJTaNbnJOXl+/hf+utRe8Un4GWV0vsdFn88Njga8pQA77sVqurwcKOjEYIIYQ4KN0wGXHXwmZl4/ukcMHo7hT7Arz/+qrQxQLTpZHaLbbzgzwMkrCEwRYdIMV+FwGlH/YTzwFdB8MAQ8c0dDAaHlfvg52LcLjygEsiHbYQQojjkC/YcoLTynqr5f/rDcWotcFQef8zc3h2WO9Oi+1ISMISBoUgUdpyoqK2w8wnDl6xfAc8chcocZ0XnBBCiOOWaers3v0E/kAZmhqFqkWhqS7euTqa855PCtVbvWsnjwQK+ccX1qKH3dNiuOrUfvxsaPahR792IZKwhENvmGvf1so1PrWhw5IZxvT9QgghxBEqL1/Mzl1/P+C+p2aoPL/hMpYVjuWTLQE+2RIAYOagRJ66YhJqWPOKdR2SsIQj6KfAE8emomj6f/oyPWZcfuB6asOP0wgeeL8QQgjRjny+otB2zx4/Qzc86LoHQ/eiGx5+M2UrawtLWb4vi3x3FDYlyLyzLj7qkhWQhCUslRXVvLp7JABrnlnAwI/fpd/k6Qw495fNKyoNLSyGtLAIIYToeMGgG4DMzPPIzf39AeuMAc4tX8yatVfjcmXTLeW2Toyw/chMt2HYsbuy2ePNeR4+ePU9gj5f84qNLSxySUgIIUQnCDQkLDZbfIt9hu6n+qvf45+fRsHXNwKQlDihU+NrT9LCEgbPlkUtymLwUzX/WjS7A8WmWTdFR9nrwpXsx24YoEo+KIQQouMEAlUA2O1JzcpN3U/R/ExejYsjOsrFJWvyCA5Lpue4n0UgyvYhCUsY+vhK2FrnxWYYjN5ViN+m4QgalK7de4DayWgug9x7AiiOrj8RjxBCiKNX4yUh+w9aWGqKv+cXzm4UR4PPoRBnmJw96m/Exg6IRJjtQhKWMMT2nMqkVx7DFm0QO64Xpq5jBg1Mfb9b0Lp59rjRvSpmUEdxRDpyIYQQx7KSkv8BsHXbXVRWLsVmi0OzxVH5k1f5a51V54r/05g++xMSUgdFMNIjJwlLGIyodABc46eT9cTjB6/n97Nl+AgATF36sQghhOg8pWWfWBsB6FbX9I35kbF/JusoT1ZAEpawmD5rhkDFdehLPIqt6cdpBmVosxBCiI41cOB91NRsJDo6B1V1EgzWsKeqhG0TvyB3aSGf3ng9N448K9JhtgtJWMJg+q3RQKrTdch6iqqCooBpYgYCnRGaEEKI41h2t4tblP1x31oWzj4bZsObuZkRiKpjyDCWMBgNw5cVZ+udaEOtLNLCIoQQopOVlH7MT2M/IdGsZKxnOSk1la0fdJSQFpYwhC4JOcPoRWu3QyAgfViEEEJ0GG9tAM2uYndqobKamk2sW3c9AI8BuGDXbheDBh39/VdAEpawlD/1FACV/3qJzRk6qqpZl35UFVVVUVQNVAVFUUk0giiAGZAWFiGEEO2vZI+bN+9fiWmYJKRF0a1/IsOndGNV0d/QflA3Pa1vRGLsCJKwtFHGX/4dVr0qbyUZHB1LdgshhDh67FxTimmYAFSXeqgu9dB/QxmDuZLijL5UjXgWgI0bp/Lzn50QyVDblSQsYdhyy9n0feg93HEaNZlxYJgopgmmiWI03JuAaeILeMhPhZPSXWREOnAhhBDHnJUf7gltdx+YRNHmpn4qGcVTiFl4Am/HfMx1/3cPUVFRkQixQ0jCEoa9Y3tyx202Lh5wMX+Y8IdD1p355kyK6oqYitlJ0QkhhDieTL2kP4sXbAVgb0Oy8m1tkPGxNip8hRjjd/H7Sx6MZIgdQkYJhcET9AAQbYtuta7WsGJz0JQ+LEIIIdpfSYa9xVfioqDJwn17sX/4J4LPfhiRuDqatLCEoTFhibK13rRma1ixWTdklJAQQoj2939vrMUbH2BwQGO6p2n06tiV9wPg3FcaqdA61BG1sMyfPx9FUbj55ptDZaZpcuedd9KtWzeioqI46aST2LBhQ6vneuuttxg8eDBOp5PBgwfzzjvvHElo7SrUwmIPv4VFNyVhEUII0b4Mw6SqPoBXhVVOnTf7wMm3jWJa/43YDGvOMJtpRDjKjnHYCcuKFSt4+umnGT58eLPyBx54gAcffJBHH32UFStWkJmZycyZM6mpqTnouZYuXcrFF1/MFVdcwdq1a7niiiu46KKL+Pbbbw83vHbVlhYWTW24JGTIJSEhhBDta9HW5q0nxcUVLH72X2hPPxahiDrPYSUstbW1XHbZZTzzzDMkJSWFyk3T5KGHHuL222/n/PPPZ+jQobz44ovU19fz738ffDjwQw89xMyZM5k7dy4DBw5k7ty5TJ8+nYceeuhwwmt3q4pWEeNLYE/RPvLK9lFQXUhJXQllnjIqvBVU+6px+93U+mvx69Ykc9LCIoQQor1NyU1lav+00OO3PriDnotebVbHdcf8zg6rUxxWH5YbbriBWbNmMWPGDO65555Q+a5duygqKuLUU08NlTmdTqZNm8Y333zDtddee8DzLV26lF//+tfNyk477bRDJiw+nw9fw5T5AG63+3BeSlgGbTmJ4UUnwSp4jy0AmBgE1SC6GsCn1bOo7wIKEraHjpEWFiGEEO3Nrqn866fjAPD4ddb/7ze8M9HJdwM1fv0fA69D4+c/+VGEo+wYbU5YFixYwKpVq1ixYkWLfUVFRQBkZDSfgSQjI4M9e/a0qL//cQc6pvF8BzJ//nzmzZvXltAPW0ZtTosyBRW74cBuOHAFY+hdMTyUsCQ5kxiQNKBTYhNCCHGMqC0Fnxvs0WCPsu5tLZeE+dVnv2LR3kUMThnMjt9G4zMqAIW/XGB1SbhGPTYHALcpYcnPz2fOnDksXLgQl+vgKxcritLssWmaLcqO9Ji5c+dyyy23hB673W569OhxyOc4XIMTh1JeW8vZN40gu38SwYBB0K+jBwxWfLCLzUuLuGzopTx83u0YpoFNtYVGCwkhhBCtKvwenp4GP+wwq9rQbRr19iAbB8RRnJTLor3FAGws33jAU5V7ykmJSunoiDtdmz5VV65cSUlJCaNHjw6V6brO4sWLefTRR9myxbpcUlRURFZWVqhOSUlJixaU/WVmZrZoTWntGKfTiTOM1ZPbgx6wfoFsdhXNZt2cUTYMw8RTGwDA4bTj0MJYHFEIIYT4oX0rrWRFaWgdaUxcjCCaP0icH3Ly66mO2QUcesTqsfqFuU3tRtOnT2fdunWsWbMmdBszZgyXXXYZa9asoU+fPmRmZvLJJ5+EjvH7/SxatIhJkyYd9LwTJ05sdgzAwoULD3lMZ9KD1i+Oamv6cQV8Oh8+uY4968oB6NY3MRKhCSGEOBbUl1n3Iy+DP1bAH0rgtt1wyybKxlj9QjNK/YxeV82HiZk8230E9w07j7N9qfj3XYjhSyVYn8OYsrEkOBMi9zo6UJvSsLi4OIYOHdqsLCYmhpSUlFD5zTffzH333Udubi65ubncd999REdHc+mll4aOmT17NtnZ2cyfb/VknjNnDlOnTuX+++/nnHPO4d133+XTTz9lyZIlR/r62oWhW3MKalpTwrLpm0J2f2/9gp36syH0GJwckdiEEEIcA+qsL7/EpIKigM1p3aKSSDnzNaryB5BYXEJKVQBWL6c7YAJnA/eYq9m9N51u3VNxXftcBF9Ex2r3dqNbb70Vj8fD9ddfT2VlJePHj2fhwoXExcWF6uTl5aHu1ylo0qRJLFiwgD/84Q/ccccd9O3bl9dee43x48e3d3iHxdAbWli0pj41jdvpveLIHSvLHAohhDgCdQ3zq0SnttilqCrOH7+K/5kZ+GPi0J1ROKsrcHmtLgmqYlI3Lh7XrG86M+JOp5imeUys0ud2u0lISKC6upr4+Ph2Pfdjv/wcgAt+N4aMHOvcqxfm8c3b2+k9IpUzrxt+qMOFEEKIQ7uz6TLO7rTpmLYoa6SQIwaiU9GiE0kZeSYxmX3BVwuY+Gr24Hx0MgC1cS5i/684QsEfmXA/v4/NnjntLGf3B2QUf0f+eVBgUwEFXTcZB0RvdrLzfw2dbRUFFAUtMZGseXfiyMmJYNRCCCGORjmlnx14x7I/4HZ2I95XAIAzsSeBxCzsVYXE1nihcC1kjejESDuXJCxh6Jn/GTbdd+Cd9eA7wHQxNZ9/QcpPr+7YwIQQQhwT3oi+giH1S3FmDUF1RoO/DiXoIaek+YCUxmQFgKo87PvvrN4rCcvxzqYaoEP07+5DSUiwejopkJgehdbYr8U0wTQpe/Ip6pcvR9GOzYl7hBBCtL+tgSw2cDY3XXgTyclNgzhMw6B691rUqHg2vP84Vfu2U+TozYXX3kZs3mew4lmrZaXfDOt2DJOEJRxBa5r97FlTsKWlHbJq5RtvWBuKJCxCCCFaFwgECASsDrTR0c3nWFFUlcQ+owAYe/X9PPnkk5SVlfHS6//h6quvxjXqcusLcyuTsx4L5FO1FaauW78MALbW87um2XmPib7MQgghOpjH4wGsz4+DTYga8PhZ/K+P6B3bDYDi4mK+efdLGg7sjDAjTlpYWmEGmxYxLPnz/WxfW87WzNOJdhlE6zWAgR8nFaSgay5673WQHN+bdEMSFiGEED8Q8IK/1hoBZIsCVaWmpgawZnA/0JI0ekDngT/fT0DRm5XXbirplJC7CklYWmF6vRSlj6EysT+F1ZMhxyr3AZVay7UadnU/lV3dT8VRXs6xt5KDEEKIw1ZXBo+OAU9lU5nmZJsyATgBr9fLs/fejE0Bm6ZgVxVsmsK+usRmyUqyEUtPI5Wpp0zt/NcQQZKwtMJbXc/GQVe26JPSN8tDYpJqLf0Q8IEC2zZ58WhxBNQoAtmyWrMQQoj9FK5pnqwA6D406kMP9wYSD3BgU7Jylm80mWYi0aMzSDi5V4eE2VVJwtKKGr+jRbJiOoNsSXWD0tBnpeGSozIWlHxQyiEY3TkLMwohhDhK1DZcwulzElz8CgS9EKjnxICXQaXFlJSWoRgBgn4vQb/PugUDeEvrqS9MZ6BZTc9rR2PrlXXAS0fHOklYWuGzBVqUKT4btnWHno5/Y/UGJiOtLEIIIRrUNEzaFZcFzljr1iA1rT8tJ+VvoAfh7oZOBuZ4ULp1aJhdlSQsrXClKnyV8yZZNX3Iyc4GUwHM0MAha0OhcYWD4vpiigOFjMntE6mQhRBCdEWNLSyxLb/wBgN+NM2GojZv0S/Zt4udnz/PhMaCxlWdj0OSsLTCVEw2ZH3F1uxl/P2KVa3Wv+/b+/hg84ec4LymE6ITQghx1Pj2Cev+64eo9ATZXmVi2qLI3v4y2UYRhqngxY5PceDHgV9x0t0sJH2/U/hjs3FEJPjIk4SlFY0tJ2qYE8EpKM2OE0IIIX4oadWjjP1BmaqYROEnCr9V8IOPkSWMZEzGsE6JryuShKUVBgYQfsLSWM+UieOEEELs79wnYdH9kD2aNzZ50H119IyDaHwEbVFkX/BnTMMk4Kvn2237eO2bbbgUP24zhmDGCB64YAQuV1SkX0XESMLSCsO0EpbGlpNwSQuLEEKIZkb+xLoB9961kKpggE+vnkq/9Lhm1ZbuKOfWrwuBASRG2bnplFxmT+yF7Thfo04Slla09ZJQY73GlhkhhBBif0t3lFNVb41AjXXaW+x/Y2V+aHvRb08mIaplneORJCytqPRZk/zUBmo575M/tVq/rHodAPVBvZWaQgghjje+oM6Vzy8HrCWA4qNafgyPzUnm7VX70FSFN1fu5YoJvXDYju/WFZCEpVX76mtD29sL3g77uC2ejohGCCHE0WxzYQ3+oNUC//Alo4h2tPwYvnhMD5bvquCd1fu4+/2NPL14B0t/Nx1VPf4mi9ufJCytSIvtja6loullDMi+sNX6+7wBioMaPTJmdUJ0QgghjibbS5q+BP/mnXX87bvdOG0aTrtKlF0jyq4R7dCITnZizfoFxW4fv/j3Sp69bPRxOcNtI0lYWpHgSqYi++8k2TTePLH14WR3bt/Hk/mluOyJHR+cEEKIo8q43smhbZ83yO5tlYeo3eSz9cX8/bs93DI2p4Mi6/okYWlnjWODjuMkWAghxEH0SI7m/d9M5bQPv4egCYbJuNhovAEdX1DHFzDwBw0CQYM6fxBfwECt8qMnOSg/XmeMayAJSyvanIA0HCD5ihBCCIBgsJbi4vfQtBhSUmdy2ZY96N1jADg/I4nHB7dcdfnlgnJ+v3Uv/saRqsCsngddbei4IAlLK/I8PgAqAjLqRwghRNvU1+9i6bIZocd59KJYeRCA4XFR/CQzucUxuz0+frPFGto8Mi6a6SlxnJ6awLC46M4JuouShKUVkqgIIYQ4XAUFbzR7fD9/CG0/3T+WnPi4Hx7Crnrri3K2086Ho3OP6462+5OEpRVZTjtKXQClLsgDy3aGLg01znyrgPXLZP3Pmgo3Sp2PYHeZOE4IIY5ndXV1eLzW6sqZGeeSkjKNqk1NLSoTVpYywb6c2d1SOb/PiS2OT7RrkqzsRxKWVjiDJo6vS1BMeHx1RXjHABtVJ+R279jghBBCdElfffUVn332GSdOfQuAouL/4Io6i7MT/bxX1dR7dlmgN8v2wF/yP6Sfox6nCm4lE4jBJslKM5KwtCI2aKKYgAKuJBccYI0gc78NX5XVlJepyy+aEEIcr3bv3n2Asp9zrrcbVyWeSVS/c3l29yberusDwC4ji13e5vVHxsqU/PuThKUVjflJeqyT5bdOb7X+Xz7ezGNf7CDZLj9aIYQ43pSVlbF9+3bKy8sBCAbOxmZ/L7Tf5SrA632W3sFZPD7ufH5Tnc9H+zbgMXQ8us6jFT1Ddc+Od3d6/F2ZfKq2YkNBNT/RPiPXs4/l//gn8SffTP8hY1APsmqmKk14Qghx3Hr77bcpKCgIPR48+P/o0eMhios3snXra/j8r6AoJrruZe++f1NbsYTx/gpMdByONE5QVrLbSCXNFc/krH9H8JV0PZKwtCLNl898+3PWg0rg7Q/Y9mY27im3M/rUy1rUb0xXjANcOhJCCHFsq6qqAqBfv35kZGSQnZ0NQEbGYNLSbueLL18GYOu2nxzweCcwWPMwYvBz0uH2ByRhacXUXs4WZbnqPvjmeopyR5LZe0jznQ2/YJKvCCHE8cU0TbxeqyPK2WefTUJCQrP99fVefL4onE5rdVy7PZ2ePa4kKtq6DOT3leB0ZpKUNBG7vfmxQhKWVtkaE9zEnjDne9Yu/Bcjlt4EQOaLk9h75XK69x4Qqt9Y3UQyFiGEOJ4EAgEMw5rSwuVyhcoNw2DVqlV89tlnBAJnk5a+i169kjhxyp9xOCQxCZckLK3x12IAZlU+iqecYG0JjTOsKEDCC9PYc+n/6Nl/lFXWkLEYkq8IIcQxwf1ZHt6tlSh2FcWmotgU696ugU0Jlfv1AMOCPcnXynE4rKHLNTU1vPPOO+zcuROAjIyenH7aL+nVq+V0/OLQJGFpRf6mlTzHrwHo/5+fkJG5ky+m/mA9h30Xsn2ftTlMhcen29ni/TXQ+urOQgghui4zoOP+ZE/Y9ceTywAjm2AwyPLly/nqq6/wer3YbDamT5/OuHHj0DStAyM+dknC0ooKRzJQA8DWrZPJyNzZ6jFOLUD/xA0dHJkQQoiOptcFrA1NIfnC/pgBAzO43y1gYAZNzIBO7YZSFHcQ0zR5+OGHqamxPjsyMzP58Y9/TFpaWgRfydFPEpZW9Bh9Iso3OzFNjcmT0pk6bjEYfvDXQsBL0FQoMpNR7A40VaGi5CXKip6hT2pMpEMXQghxhIxaK2HRYuxEj0w/ZN3dviLSVoFH8VNTU0NCQgInn3wyw4cPR1UPPBWGCF+bfoJPPPEEw4cPJz4+nvj4eCZOnMiHH34Y2l9cXMxVV11Ft27diI6O5vTTT2fbtm2HPOcLL7yAoigtbo09rSPN4TSZcuK/OWX6+8w89XpsMZms33Eni78/l4LAGqK6jaF3dh9y0rvTIzWbhOh4QDrdCiHEsaCxhUWNOfSss4HiOqI2WDOd1+MjNzeXG264gZEjR0qy0k7a1MLSvXt3/vznP9OvXz8AXnzxRc455xxWr17N4MGDOffcc7Hb7bz77rvEx8fz4IMPMmPGDDZu3EhMzMFbHOLj49myZUuzsv17WEeSoVvDz1TViqes7AsqKpdAALZv/zPbt/+5Wf2kpEkNW5KwCCFEl+R1w+IHwNDB5gKbEzQ7aE7QHBg48VZmQdowfHvrAFAPMk2+aZrUfVtI9Qe7iA048OBnb1oNl/7kKklU2lmbEpazzz672eN7772XJ554gmXLlmG321m2bBnr169nyBBrbpLHH3+c9PR0Xn31VX7+858f9LyKopCZmXkY4Xe86qpVxBaPwe5NJq/ibcrLvmbflzMp9e7DmXg9Q6fchJ7dtDJzZeU3AJhBWa1ZCCG6pG0L4ZtHDrrbHbiKWv0CYHuoTIt1tKhn+HWq3t5G/ZpSAJz9Esm6ZAC5sa0v4yLa7rD7sOi6zhtvvEFdXR0TJ07E57OawvZvGdE0DYfDwZIlSw6ZsNTW1tKrVy90XWfkyJHcfffdjBo16pDP7/P5Qs8J4HZ3zJoL/r31ZK/9lfVgC6RxLqdkgU/3sNtbh2E4wfTgM6FSV8i0myiGDeeOvjJISAghuiLffp8X468D3Qe6H4J+0P3o63uBDrZYH2paOoqmEDMxq9kpAqX1lL+8iWBxPaiQcHpvYqdko6gyO21HaXPCsm7dOiZOnIjX6yU2NpZ33nmHwYMHEwgE6NWrF3PnzuWpp54iJiaGBx98kKKiIgoLCw96voEDB/LCCy8wbNgw3G43//jHP5g8eTJr164lNzf3oMfNnz+fefPmtTX8NkuNnU4NJQD4c/Jw7LZmJHRqUQyIiYJNT8Am8Cp+7KYNDRUTE3tWbIfHJoQQ4jAEGvpIDr0Azvhzi92eVV8BEKx1EuVYjRalYLMnAVYfRd+uaspe3IDp1VFj7aRcOghnH5kArqO1+QLbgAEDWLNmDcuWLeO6667jyiuvZOPGjdjtdt566y22bt1KcnIy0dHRfPnll5xxxhmHHHM+YcIELr/8ckaMGMGJJ57I66+/Tv/+/XnkkYM31wHMnTuX6urq0C0/P7+tLyUsZkV0aHubcwge54F/ZC7Tgdbw41RQMOsDHRKPEEKIIxRsSFhsrfeV9FT0oXZfb+o+bkhiKr2UvbgR06vj6BVPxpwTJFnpJG1uYXE4HKFOt2PGjGHFihX84x//4KmnnmL06NGsWbOG6upq/H4/aWlpjB8/njFjxoR9flVVGTt2bKuji5xOJ05ny3V+2tu+/GoafxWHbKkJ+zhHb/kFFkKILqkxYbEfOGHJuK4fdV+uQdW8eDZUEDD7A2D4ghTdv8I6tEccaT8fas12KzrFEc/DYppms74kQGjBp23btvHdd99x9913t+l8a9asYdiwrtEBJH9oIjEbK/FrCttGJKFqCqqisMfnZ2u9j+HxUZyXkQyYYFjxK6rS6nh9IYQ47vnrYcv/QA9YyYPNBc446DEBtA6cJixgjf48WAuLvVcWiVdafVYC818kUA2q00bpE9+H6qRcOlCSlU7Wpt+I3//+95xxxhn06NGDmpoaFixYwJdffslHH30EwBtvvEFaWho9e/Zk3bp1zJkzh3PPPZdTTz01dI7Zs2eTnZ3N/PnzAZg3bx4TJkwgNzcXt9vNww8/zJo1a3jsscfa8WUevsrMKCacGsf05HheGdEnVP7XXUW8vLuI2d0SmT0gO4IRCiHEUWrVv+Cj21qWj7/ugH1L2k2g3rq3Rx+6nrsAo8bqoFu1NhOwhjgnntsXW1LXmHrjeNKmhKW4uJgrrriCwsJCEhISGD58OB999BEzZ84EoLCwkFtuuYXi4mKysrKYPXs2d9xxR7Nz5OXlNRubXlVVxTXXXENRUREJCQmMGjWKxYsXM27cuHZ4eUcuaFrzqdh/0HXl8wrrl9gd1K1WFUV6hgshRJv0GHvg8m+fgJXPw+VvQc6UZrs+2vURD658kOk9p5PkSqLCW8GYjDF0L3RSU1KCqmnW+7GioqgKiqJaE5Lut1334cfUBfvgfOs11FUFqJqKqtlQNQ0UFWewmn76KlzVWzHN+U1PrkDyJQOIHiEt6JGgmKZ5TMxw5na7SUhIoLq6mvj4+HY77z/3lvL7bfs4Ky2BZ4f2DpXfvaOAx/Ks0UMOReHirGTu7NuNGJs0EQohRNjeuBo2vH3AXcH4nnw16iEq/TaUtD7ER5vc/O2sFvUSam2ct7h9W7pHJ+/lpMw9eKJ+RG3gDNScocRN64Wje1y7Po8I//Nb1hJqRaiF5QctKLO7pbCgsILyQBC/afJSQTmflLmZl9uNs9MSUaXFRQghDq1yT1OykpILk26E924K7ba583hvxxu8vf1sUusX87vN95B6lkZZQvP31yhf0xfFgZOnAWAaBqZpYpoGpmGGtjFNzMo83AW7SEpwER2fiGHo+AMGW/M9ofP0P+eXcNJPiHIlENWBPwIRPklYWhFoaH+y/WAyoF5RTtZOGkJ5IMh37jrmbS8gz+vn2g17mB9VyKODejEmQRZAFEKIA6orQ39oCu7grwiaaVCZhPFuDEH/AhR82JQikh1/ZcaeHbwNvLTwHgAef1znjss1tvRoek+OU6z32ow+/Zh102/bHErA6+Xt++8E1mN3RXH+7/5Et0FD2+FFivYkCUsr3tyzh6v3vU/cnlq+3p4AKJgN10FRVBQUkhT4CyqfltcQRKFWi+I/secxJmFApMMXQoguoXZ5If68GtQoG6Zfx1ixAJ/xCAYpVoX6promsfjNFHz6SM60fQI/mNbK/EED9v+NuJlly57D5mg5ff6B+OrrKNq+DcPQSUjPZOfKb9m7cT02p5Mf//4usgcMOoJXKjqKJCytmLb7P9y541Hrwe5W6u63/XVULQy9p6PCEkKIo4b7i3zcH+/+QelJAGiUEDtSRXUqKA4HAU8CNd9Za7FpSjk1Z89j9+hZeO85gz899wbral+gMKmEnIoBBDQfL/30KUpXr7Pq2w+esFQW7uObN/7N7u9X46058FIuJ5zxI0lWujBJWFrxq/0Wv1re62xsZpAT8j5s9biRan2rdYQQ4lin1/ibJSuxU7JRXRpKoBx17VNE/WIeakomwQovVf/dgXdzBQDOlGqc1/8HV4w1r5fLpnL/tRdT65/FizctD53v9d98T9BnzY9SVxVs9twBn5eNiz9n05Iv2bd5Y7N98WnpOKOiqSjchx4IkJ7Tl1GnN1/gV3QtkrC0InXHR6HtnD1LqIrr/4MaCjRcHsJo+mOR0UJCiOOJr76egM+Lze5Ac9ix2ewoqkqguOnLW8Yto7GnN8590gvOeAr/3hpqX9tC/dpSMEzQFOJP7kHcST1QbC2XQol1xJI0CipX71do6g0xWA+DgQDrP1/IsrcXUFdVaRUqCn1GjWHcOReS2rMXzmir34seDOBxu4lJSpbpKbo4SVha4VOjcBpWz/F0Kkmv+Ta0z5M1jqhrP2mq7K+DZU/A+rdgYMuhd0IIcSwq3rWDf9/+fxh68xYOzWZjUOIkhsRNBGDXX7/EUAy0UXH0OWsiFf/ejG9ndai+s18iiWf3wZ5x6AELP549lX+u+wojaHLGtcP45s1NFG8Hm0Nj/Ref8PUbr1BbXgZAfFoGI0+bxcBJU4lLSW1xLs1mJzY55Uh/BKITyDwsrfjdW9+zYEU+t5ySw8n29XhXvcbYms8A0E2FKzLf5bQRvbhgdHdinJL/CSGOP3+7+KyD7suO7s+UjPNalKsxNoy6IKgQNTSVuBO74+gR/hwnn72wkc3LigDwVj0GZvMlYmKTkhl33kUMn34ams0e9nlF55N5WNpJQLfyOYfTxbBpF/Nd75k8/MUHnL73IT7zDeKbPbV8s2cD6/ZV89cLR0Q4WiGE6FyH+s7749/fRUJ6BgG3F73SS+kXW0mutlo5jLogWpKT1CuHYM9s+xQQJ17cn7pqH/mbKrE+yqyEJTYllRNOP5tRp58d9qghcXSQhKUVn24qBmBrUQ2XPL2UZTsrgGQe5K5m9Wq9wQMcLYQQxxjThLJt1rbdhWKL4hcPPc2X/34Bb20N+RutETtR8Qmk9uhlXW6x1hEkoV82eX/5ilglEU+whvRL+h1WsgLgiLJx9k0jcZd5qCjoTeG2dXTL7U6v4aOkL8oxShKWVlR7rAkA3l69r1m5qlj9w2yqwrmjsvnZlN4HOlwIIY4tX86HRfcDUK8nsLruXNbUn4sRzMFf8+9QNY+7mn9eOxs7CnZVxaaqOFQbhqZSGTDQzSDXZ7x6RKEoikJCWjQJab3pPULeg491krAchsud36FhoqNy4/XXkpGREemQhBCic+xbBcDG+ul84f5VU7niAiUWzNpQUUBVGuZ8M8AwrJGUDY3R8ag4XDLpvQifJCytuKZvHR/sCmCioGLSTyvDpljXbG0Y1NfLfCtCiOOIx5onpazbT2C/+dd+/uBZBHxn8PZNC6iNzQD8jFz1AKpRT1BVCWpq6N5QFDIHyNT3om0kYWmFf99GTtN0DO3A86rY7dL7XAhx9PLv2YNvx04Uu926ORrvHWC3UxGv4IiJw67acWgOXPXlKMDU83uy7r660HlWvL8Lb32QQFYGSp0LcOGNG0R24TcHfN5VUwYwpnNeojhGSMLSivO+fhW1wM7K0aPZl92NgNPZbH9MjCxwKIQ4Oum1dew873zMQ7QUV8XAr67T8NutjqxfV+cTDxhRiUzIfJtlRacBsG5RYz8/V+jYl08yGbxDweWHcVshaMSxLbE7KzIGYkycyWUd9cLEMUkSllZsSRzOxslDQo+3BpNZFujFz4Z9y8z+qSQlJUUwOiGEOHzBokIrWbHZcObmYgb8mIEAgT15oTqOIAQbGphtpkm8YV0Sr/PXEKipCdUbObMnMQkOPGodn2z/jJ2BreSl7qZ0WB/2etw8aFxEwD8CxauDCh9N6dupr1Uc/SRhacXGIUOaPZ7WYyk/y/0HADW14PNdhtMpnW6FEEcf3W11QrF360afd94OlX81aRipFVbv2L194llz1TKCZpB9havhmZkYQGzZDsbEvk43x3qyfv8B9rimSd8mntJyAcGAYbLb4yPf62dEXDQpDvn4EW0jvzFt1LvPqmaPDSNwkJpCCNG16VXWtPhaQkKzcpu1NA+betuZ8vC/UBQFu2LHX1MIQI1mIyE6GZsSoGdqCUS3PtrHrirkxrjIjXG1WleIA2m5spRoZtKUl0jttRIARQ1Saer4jab9iio5nxDi6KS7GxKW+HgMr5cdp53OpoGDSKy2WlecE8aS3mNAqL6nahcADtOEoNcqrCmE/GWdG7g4LsmnbSveqbazRN1NdPcSgmqQNwujiFZN/pDlIVoFVZEfoRDi6GRUNyQsiYmUPfkk/j17mu3P/GAl/KnpcdLG9wGIMnR47XKr0B4DydIfRXQ8aWFphdtm/SHW2+vR7H5r21CoUbPIzDwPu11W+RRCHJ306qZLQtFjxrbYH+32sfSdJzAMg4AeYH1tU2dc0gbByMvh559CfFZnhSyOY5KwtMLlygTggakPsPyKdQxIsppH5+dX8x93Enk1eYc6XAghuiz/3r0AaIkJxE6ZjP7TC1vUSZz7MJ+dMZZnF/+N2+MdXNCrNzXXfQU3LINzH4OMwZ0dtjhOyfWMVihYcw80rkh6fu75zF8+H4AFWxZQH6zn3in3Riw+IYQ4XEuXrOOBU2/Hv9OG69f/xmHm4jz1VuyeOpx6AIcewKkHSPLV4Hz1HYKTFcYPuYy4jOGRDl0chyRhCZOJlbBMzDoRw/8kit2Nouj4dF+EIxNCiMPzVfZwSqIPMJdUdMuiyR6DG0f146dDf9rxgQlxAJKwtOLbom8BKKwr5K11y7n19R3ogdtA8eGI2U5pSRl1scUodhV7Zgz29AP8pQshRBfkPfsC2FjCLwbFMqNHNPX1PrxePx6vH68vgMcf4O0SjQ0eG19HTeP5wWdgU6UngYgMSVjC9PSyRZTsTAUz3iownfhrh1Baq1H5xtZQPfsl6UT3TCEuOTVCkQohRHgK3VYL8bixAxk/uGkCzG8fuZKsyhXo2DlRtdHftR2AZR//gwmzropEqEJIp9tDaey3YhoapbvPBtOOI6qM928eSZbN6tuS3NDHpdH/HvwrT193Fe89dH+nxyuEEG1RUOUBICuhaTK3r1/8I+PL/0NPYx+9jd3017eH9k1YMafTYxSikbSwHIKiKLj0HMp3n4+pW4scTukfw/z38ykMmijAmdiJGpVG+YqdALj9ZQBsXfoVK0+YyOipU9v8vL56Nzs3LyC770TiE4Y122eaJqWP/wvv5jgMdwHeNS+RfttvIX4kUb2TiBoiw6yFEK3zBnTKaq2pGrITrZlqv3/nb0zeZS09stHsjT59HkbQQ7etr5BWtDhisQoBkrC0qmznpZjB+NDjz9dGAeXEODSemT2GSf2sSz/x5/Xhtzf/kR5m01T9Xz72AHnZAzivb/hrDenBAP955nRShxVTsBL69b2VXr2uxe8Nkv/nv+Nf8E8cg87BOWAWakwasVkjqP8eTD2P+iWFRI/OIOHM3mgx9nb7GQghjj15FfWMUrYxUd1I0dJSdm77itHFbwLwXfRURvz6Lex2h1W5Xw78czEk5UQsXiEkYWnF/slKI01VePzy0aFkBcDucHDP3+9h7d0noVRWUx90cELyPna8dS7F139MRmzL8xzIp88/SfyQ4tDj7Tse4PW/5hIdgFO+/CcAevEGGDCr2XGKZiUo9SuL8e2qJvM3Y1DU5perhBCi0QufruR1x13YFR2WvBYqX9T9WqZc/Wc0bb8eA66GtYY8VZ0bpBD7kYSlDVx2lSn90rjupL6M7tVyKGCs08bku7+CeYmhsuT6jfDXHtaDIefB1FtbTLS0vXI7t399OxvLN4ID2BfNHVkeUmxWH5rogAGorB12HSPWPYH3pzfS76eTqXxrO56VxfyQXuHF9OsoLvnnFUIc2NnZddi3WascbqMn1Y4MjFGzmXbG7JaV935n3Sd078QIhWhOPtFa8fn/TePD9UUMzU5gYp8UHLZW+ikrCuYd5RS/chmZOz9qvm/DO7DhHbac9Bv+pXnonzyAoroiXt70covT7L/A4q4Zy+j96STKU4YS9+43dB9gJUspF/anJiOa6v/t4r1uNpan2JheHOTiy4ajSrIixFHLNE2qSzzEp7pQtY4ZGzExuc7a6DWF3Ks/AMOAze/B4r9ASj/oNwMCHvjun7Dk71bd/qd3SCxChEM+1VrRJy2WG07u16ZjFM1G5uzXwFMJpVth30r4eC4Au+w2LtjzulVx53sHPL6/L4tzpzzOt8tPw+eNYq+zL/suyODxCf1IinU2q7shVuHc0+JCjz/KstGjeBc962Po3bt3m+IWQnQN21eWsPDZDThjbAwcn8WEc/tgc2jt+ySFa637xn4pyx6HhbcfvH7uaXDiLe0bgxBtIAlLR4pKgp7jrdu4a+DbJ/ho+QMHrX5W71nMzriAQQPGADD9lB0AnHmIp3gnSgdr/TLS3ZWcuuFbvvB7sdls/P73v0fVfVCyEZY8BD43nHAlvDcHUvvDxS/LomVCdEFl+TUA+OqCrP08n0BA5+TLBrbvkyx91Lpf8zLuksXEF+y3LlpSb6jcZW1nj4ZJN8Kgc0AmjRMRpJj/3959h0dVpQ8c/97pM5lMCimkhxICJPQiQYooghRF1rXtKqi4rrr+1rZFRBB0Xd2FVVF3ddeOruIqwsKKiEiXFpBIL6EGSO916v39MZAQk0CA9Lyf55mHzL1n7n1vDjPz5txTzk020soVFRXh5+dHYWEhNlv9Org2B7Usn+fXPslBVzFDokbQLaAbfYL7EGoJRVEuvZPsiXI7SZv28sCGpbXu78JxtHjoy166cwQN51X3TW9A/7sv91KEEI3kuw/3cWBzRrVtv3p1BIaGvNU726/WzafjuxF2+yY09lLQ6MBobbhzClGL+n5/SwtLE1MsAcwa/16DHS/GbGT44ZQ69x8hFoBDdKY7h7mD/1Hg6khqxTCOLI3GvDGFvtdFEdbVB53BeFlJkxCiYZUVOSp/tgYY6THUh3899EvsZaUM/8U96E0mzL42YgcM5r3MInIcLsxaBZNGg1mrwazRYNIo9PK10NlsRKdRsLvcnCmowKzXYtJr2DN6OP4ndhJgTcBkjsZdkU1+YTIZgTlk7LybxMT5GI3+zfdLEOInLqmF5c033+TNN9/k+PHjACQkJDBr1izGjRsHQGZmJn/84x9ZuXIlBQUFjBgxgtdff524uLgLHnfRokXMnDmTI0eO0KVLF1544QUmT558SRfSWlpYGkNGfgFvzX+1XmU7eIrRZFUfEu12HMJZ9hWoKr2uG8uYB/6vEaIUQtTXZy9sIyetBIDEkREc3b4aNWsHoFLuLqHCXYqKwsbB17Gl/zUXPZ4xtQjlSHGN7TG+afz3kRH4+3lHLubkrGHP3sdwu0vQ6XyJ6zqDsLCfyx8yolHV9/v7khKWZcuWodVq6drV2wn1ww8/ZO7cuezcuZOePXsydOhQ9Ho9f/vb37DZbLz88susWLGCffv24ePjU+sxN2/ezPDhw3n++eeZPHkyixcvZtasWWzcuJGrrrqqwS+4LVNVlZKSEux2O2VlZZSVlVFUVMS61d9SWuGd0M5YHoKt0Hsv3BpgpCTfjrP0G9yOvdWO1e2qq5n4+FPyQSVEM3j/DxurtbIkGp10MVctrLri1Htsiwxm6dhfVG6bGt6BCo9KucdDscvNmryqBMWwPgNNuXcIs6LA+Z/6m//Yn7CAqr5spaVH2bfvSYqKdwEQHHQ9iYmvo9HIZJSicTRKwlKbwMBA5s6dy/Dhw4mPj2fPnj0kJCQA4Ha7CQkJ4S9/+Qv3339/ra+//fbbKSoq4uuvv67cdsMNNxAQEMCnn35a7zgkYbkwVVVJ3fQ/ti7MosARi9uegqt8DRpdBB7X6Vpf89uPFqE3GGvdJ4SovxN7cikttKM3aNEZtegMGvQGLfqzP+sqf/aOBHrrkbWonqqP5kn+1ZOFHcY1nDSqvJA0qXLb74NO8NueE9BrvXf6VVUlp9zJP3ae5P1lBwF49s4+3NsnkqOZaVz7yi40ipvDfxqPVlu9d4DH4yLt1PscPfoyHo+Dzp2foFPsbxrldyNEo/dhcbvdfP7555SWlpKUlITd7l3102SqWkRLq9ViMBjYuHFjnQnL5s2befzxx6ttGzt2LK+++uoFz2+32yvPCd4LFnVTFIW4q28kqpedr19bxdHdawCqJStGaxRX3zqe1e//E4CjO5KJTxrWLPEK0VZknSjif2/8WO/yGq1Smaz87K4gPv/kNMc1+ZhVAyGqHxVjrUwaNQtVVbnT6WbUpk1kqzbm5sQwd/2eyuN80tmXxxefpDCjrHJbp0BvK012YTYANkNZjWQFQKPRERP9K0pKDpCRsYSSkoOXde1CNKRLHqO2e/durFYrRqORBx98kMWLF9OzZ0+6d+9OTEwM06dPJz8/H4fDwUsvvURGRgbp6el1Hi8jI4PQ0Opr7YSGhpKRkVHHK7xefPFF/Pz8Kh9RUVGXeintkslmZPIzVX1YVEXBERSFM6obJWH+fPvJgsp9BZl115sQon4KMr0Jg8mqJyLen5BYG4HhPtiCTJh99eiNWs5f9N3j9iYrTn0hHyzbQF7IVlYZdrPMuIP92d8SODgG8P4REmTQcZNpV41zKnl27nvzQGWyovjq6dM/lBER/gCkF+YB4G+qqDPu7OxVZGQsAcDPr98V/Q6EaAiX3MISHx9PSkoKBQUFLFq0iKlTp7Ju3Tp69uzJokWLmDZtGoGBgWi1WkaPHl3ZIfdCftpPQlXVi/admD59Ok88UTWJUVFRkSQtl+DWVz/g88fuoaT7gGrbNeGd8Dm2D4CwrvHNEZoQbUppobcvSlSPQMZMS6i1jKqquJ0eXA4PP6w8zvcbt1BqO1KtjOLxoAvMo4NP9RXZf99/Gu9+X70FxLAzt/LnG4dG8/pN1Vd9zyosBgwEWtx1xp2esRiA0NCbiIqsZbp+IZrYJScsBoOhstPtwIEDSU5OZv78+fzzn/9kwIABpKSkUFhYiMPhIDg4mKuuuoqBAwfWebyOHTvWaE3Jysqq0eryU0ajEaNR+ldcruiwID4Lv4Xx7qOgrZpB02OyEHzNOArsDtan7OLWuHj5PQtxBc51nrX4GeosoygKOoO3D4u93I3TUFBt/6B+/Rg6eDABYTUnevQ3mEm/pg+Z5UX4G8yYdAayhvRk8JxvAdi5P5uC0Q78LVXnzy4qw5uw1B6Px2OnoGAbAB1Db0JRGniWXSEuwxVPW6iqarW+JAB+fn4EBwdz+PBhtm/fzqRJk+p4NSQlJfHtt99W27Zy5UqGDh16paGJi4hP7MkeT5ca249mZpNXUEhqaiobNmxohsiEaDvKCr2fjxZb3QnL+Q5tycCvIAFDRRDDBoxmxowZTJg0qdZk5RxFUeho8cOk854jxGzgh5nXE9PBwqn8cu76IJnlqVnYXd4Wlaxi762iIGvtf7OWlqbidOahKDoCA6+u97UK0ZguqYXl6aefZty4cURFRVFcXMzChQtZu3YtK1Z4F/n7/PPPCQ4OJjo6mt27d/Poo49y8803M2bMmMpjTJkyhYiICF588UUAHn30UUaMGMFf/vIXJk2axH//+19WrVrFxo0bG/AyRW3uG9aJ4NR8vuB4nWXkNpsQV+bcLSEfv4u3VJbkV+Byelc+9SvoyegbL7/Te6CPgb/d2oefv7WZPScLePidZABUjYKihgOwpCKY1Wu/4aQaSpwumycDDjM6djQGYyiKokNVXRw8+Czx8c/JsGbR7C4pYcnMzOTuu+8mPT0dPz8/evfuzYoVK7j++usBSE9P54knniAzM5OwsDCmTJnCzJkzqx3j5MmTaM5bj2Lo0KEsXLiQZ555hpkzZ9KlSxc+++yzS5qDRVyeUfEhpKl1tAkD1157LfHx0o9FiCuRnF3E0R4mticfJ668GItOi1mrwaLXYtFr8dFr8TF4/z245jQewOyj44YHel302BczMDaQocOi+H77GZSKs/OwnDdcutCvAwWqN5E67ApmSdZWbNmTiO82i/huczhwcCZn0v9DWfkJevf6B3q9/xXHJMTlkrWE2jmP3c2X733GnsxD1baHJfTi7sk3k+5wkml3UeJ2c7zcTmeLiWsDrOxYdBfd9y3H96a/Q79fNlP0QrR88f/bQaFP/fuAdMx38b+enYnsHtgg57d7PPTcuIdSp5u7gwP4eXAABRUVlJXv5+VCXw5XeGO7zlrI/dqFeApWAmCz9UFR9BQWbgcgLu4ZoqPubZCYhDifrCUk6kVj1HLLg3dS8PU3nNq2BYD1cX3Z1yGGZzfsrlE+7tgm9q98gx1dFXbERbFr12coDZywVBwpwHGyGFN8ABqTDo1Ji2LSoWhk1l3Rujg8nspkZXCRgltRsQN2VOyKilMBuwLFBgWnzvv/22TQEhbn3yDnd6sqz6aeodTtAY1CvyBfrgrzA/yAUJ79fg/g4u2EWG4M8UdVR3Dy5L84eux1iorOnztGQ4C/tHqL5iUJi0BRFKaNG8ttviFssqu4zxs1ZNVqCDXo0ZeWMPqLT7hljbe/0ugUlWd/qVBw7wwCGjCWisP55Lzrnfyq6Jvj1fZpfPV0uKsnxhhpQROtQ7bDBYBeUfjvTb05mJXDux99hE9JEZYBV/HYDWM4XOHgxh8O43R76GjQsygpDq32isdD4PKoRK6rSjoejwnljrCqVhuHx0Ph2U648T7eCT8VRSEm5td07PgzMrP+R1HRjyhoCAv7Ob6+Pa84JiGuhCQsAvB+UH0+vD9zUk/zZpp3Fsy3esZwU7Afqz5eiO8br+FfVFjtNeMr4vCPGNygcRhja1/yvhwHe8uPELixkMGhI6vNqCxES5Xp8K7hFWLQoSgKi5Ytw6fEOyt32Y6t/O7oUT7vlYSqeBOUj3t3IsJUv9FEF9Pz+6oW0gejgvlj56pRRm5V5U9H0rF7VIINOqJ/ck6jMVhu/4gWRxIWUc0zXcI5VeFkWXYB89dvQ/fpu3TZV/PWEMCUWQsbfHFERa8h/NkkzszZjAs3pzR5bNUdolhzdkbOw8dZPy+ZxMRE+vfvT1RUlCzQKFqsLLu3hSXEoOeTLxbhPHWy2v7A/Gx+vX4pX/Ybyd+HDyTRt+5O8JeqyOWp/LmT2YjTo+JQPXyWnsfbp7I5Vu4dvfRc1whMDdCiI0Rjk4RFVKNVFB6PDcW9ZDGPLnwPg8uFQ6fH4HJWKxfx/j/QNNKEchqzjtTIAtbm7Kh1v8vlIiUlhZSUFAYPHsz48eMbJQ4hrlTW2RaWUKOOU+lnKrdPefQxFsx/tfL5pAPJXH3jyAY999YhPbhqy34A/njoFC8eTcepqt7+LECATsvsrhFMDm3Im7pCNB5Jq0UNoRp45PMPMbhcHOs7AM2DE6vtP/O6g53OJ8nK/qbRYqgrWQG477776N69OwDHjx9vtBiEuFKpZd5J40IMeh57uGq14+927+PWh36D6+zCg9rysouun3apYsxGzlzTh9ldwgk26ChwuSl1e4g1G/hzXATbh/bk9rCGGYkkRFOQFhZRg7pgAeazsxeP/eBfHBxYtd6Q445QrH4+lJQcYPfuh/H17UVExJ1EhN/eYOe/WBISHR0NwIEDB8jKysLj8VSb20eIluK941l0ynGxPjODjRV6ckI6EZR1jOPJyUzu1oOnHn2C9z54h7y8PMrKyi5+wEukURQejA7h/shgdpWU4Vahv82CVm6jilZIEhZRgys7u/JnxWDC3d2Cbo/3w9SwMJPwMc9REHWYk2nvUly8m2PHsq84YalwujHptVRUVLBp06Y6y51bl8piqbrXn5eXR1BQ0BWdX1TnLnWiMWhAo4CiyJDyy3R9ShkDj3iT//1r9xHhV4bdDPriPP792R/oEHQSjycWCKNjx46NFodOo9Df5tNoxxeiKUjCImrwm3QT+f/+NwDO/HQ0x8ur7c+a/woJn23CXpxBZsFX+PpWn5FTdTrJfecdVI8H/5tvRh8RUbnP7nJj1FWfROvva1KZ+80BRgUUEFtxFFX1UBuzyYeJE723p1avXl25XVpXGo67xEH6n7bWuk9j1RMwuSvmBEkO62uES08ZdlxawFRKt4RvceqLCA49VlkmLCyVgzt/hdVqbb5AhWgFJGERNRjOrsYNcPTq0TU6OgVMuQuAgsPrIBgMm0txhmaS/8mnFH/zDY7zbunkvfc+qTPm8bdjYNRpOZhRRLdQX4Z2CSKpSwdO55cx95uDhCglxJSnogJWq5XExESuuuoqTp06xdE96XToEMiQa/sCsHnzZvbt21d5jo0bNzJ06FBpZWkAGp+614vxlDjJ/eQAQfclYuri33RBtWJlJ0oA0GMnfsJjdZa79fa7migiIVovmZpf1Cr54W5YV9ecTjzw79MJvW4KZRmH2LxvHAChT+nRFtV9y+D5wVPZFH7hdVG6abMYqj8BwOzZs2sts3v3blavXk1+fn7tx+jWjaFDhxITEyNDna9A0do0ilYcB8D3miiswyPA7SFv4UHsR71z8YT+biD6IHMzRtk6/P1Bb0tg9DVzsYQcqrE/IGAoCQmvYDRIsi3aL5maX1yR+JcWk/LFJHQZCqoeKvp40JlslFm/puDgUYp3bIKOoD+hVCYrloEDsU26CXNiIrqOHdH4+HBkzFjO+Hg/jCd3sXL7dYmczi9nw+Fsdp0u5GRuGS6Pyvg+URTsO4FbrZloHD58mKVLl1JcXFxt+9ixYwkLC2PTpk0cOnSo8hEWFkZSUhIJCQlotfVfw6W9UlW1MsFTVRVXbx80uQG4k/Mo2XyG8t3ZuPIq4Lw/bQqWHiH4vsRmirh1sBfYcTvTcJb+D7ezoHK7Jb8HHfuOIyjkWnx9ezRfgEK0MtLCIurkdpdz9Ogr5OVtpLTsCKrqqlHG+pUGvzU2/CdPxv/22zDGxVVr3Sjbt49+7x3ErjOw8hfd6NY7zntsj8rBjGK2HcvlcFYJ6T+uJZpcAJKuG8/Y4YPJzMxk/fr17N27t/J4er2e2NhYIiIiuOaaayq35+TksGXLFlJSUnC5vHHabDaGDBnCwIEDMRgaZvbQtqS8vJzFixdz5MgR/P39MZlMnDlzhnMfCRbVyE32gVj5yazCOoUMfzNbU72tLRHd/En6WVdCY+V9d77jaw+x6M0nKp8PvyaG2G6/IOS6q5sxKiFanvp+f0vCIurF43FQWnqEkpIDlJQeJPf7L3EV5eH/ka7G7SD/O27HMmgQ+rBw0rIKGbu2FIAPpw5gb2YJGw/nkJJWQJnDXfmae0zJ1Y4RHBxM9nmjlXQ6HaNGjWLw4MHo9XX3sygtLWX79u1s27aN0lLveU1WK/5JI7h5QB9CjQa5XXTWu+++S1pa2kXLTau4FgUF32ui8LshlrS9u1jxz02Ul2hQNTrSAjMI7xVEv8Eq3a0dUU4WY/V0QmMyoRiMKEYDGoMBxWhE42tDa20fo1VS123lv/94vvL5Y+9/idYiibMQPyUJi2gSzowMStavJ/u113Hn5NTY/3nXa3gvcWItrwQfg5b+MQH0jvTDYs8j+4eVdZ6nU6dOREVFERISQpcuXTCbvf0nCgvP4OvbscZIIafTya5du9iwYQNfB0bwY5S3ZaeDXkexy41Fo9BdcfNhiAWLzYbG1xeNxYJygRFHbpeHrONFmKx6bEFmtLrWNTppy9FcPktOI8RmpFOAic/+txILTrpqcwgODiI/Px+bzUbnzp3ZsaNq4r5ermiucsUR+nh/ilx5fPDEQ5X7DkeU8H2f3MrnkXoPvwquIPY9Headtf9+Au+5h9Cn/th4F9pCrP3n2wQfDEKn6Cn3FNP5zuH4DoyQIeJC/IQkLKLJufLzKd+xg9Jt2yhP+RF3fj4rLTH8tcfNAEQHWkgItzGkcweSunSgc5APulrWMDl16hQLFizA4XDUeh4fn1L69luGRuOd9ry8PJSJE6rP3ZJWVMLiw8fYkFvIBn3dw0Xfe/73dDpzyvtEUdBYrWh8rWitvmh8fdFarSgmE4rBwAFXNw6Ud/YW1SjYOpjwD7XgF2JGZ9CCqqJ6vP1AVBVUm521vovJrshmXKdxjOs07lJ/pRd37u17kVajj7acYOaSPbXuS9SmM1B/qpZjg7EiGLe2nEfG3gbdDbz72/sBlViffOJtOczpYuCArfq5uxndPJHuIPCftbeEGbt3p/OSxRe9tNaq4kgBuR/tR62oeQvVEGsj+P5eKK0s2RWiMUmnW9HkdAEB+I4eje/o0ZXbugIPX+JxIiMjefrpp3E6nZSWlpKTk0N2djbZ2dmkpaUR2+nLymQFwGzOJC1tB1FR3hl552zawZv2s51tf5KsfNy7M50MWq7efhiADgA6HbhcoKp4iovxFBfjIr1GXLkJ90MwKHgTk8Lscgqzy2uUO9/pji6+77SGNWlr+DH7R54a/NQl/jbOc2w9nP4Bkt8BWzgUnoKiM6DVQ4c4iL8Bhv8ODDUX0KsrWQHY4w4jyt9AaOnRatt9ijtjKYsEIMVWQMqjT3Fb9G6ifIoqyxywRdc4nl6hWgfdn9IFtu21ayr251VLVpRoI8ZO/tg3ZeM4XkTJpjP4johsxgiFaJ0kYREtll6vx9/fH39/f7qeNzfMgQPBnD4zvVpZX9+qWUKXF5aDyZuoGFxOHDrvX/oDHaWM7mDjVHomABq3mwErv0ar1aJWVOAuLsZTUoqnpNj7c3EJnpJiPHY7qsOJa7W3z82wwSqdJw+jIKuMgswyCrPL8bg9KIqCokBBYQnHk71DrwtNVbfJ/r3/39yTcA9lrjLcHjdd/btyKP8Q/kZ/Qn1CL/zLcJTCx7eA+2yrU+F5fU/cDsja630cWA7Xz4Gu18N5t7c2T7+WpBerJtuL6WDh28dH8sgnO1i5L4uvczsAHdDjYpz+EDHFUZgqQirL//pkDr9WlWrJCsCM7DxeCA4kztaFa0JjKcj5miE+Liyf69D0LyGs/xh01z2CKzubgs+/wNApFr9Jky58ra2cp8RbR76jovC5Kgydv3eR0AKnlpJNZyhcfgzr1REoWrk1JMSlkIRFtDrdu9+GyZTLkaPzKrdt3vIUVw2dx19STnDibLJyn97JM8P68tLWFHKdLp4YlABAeq43mQgoLUan874FFLMZjdkMIdTKWVpO4eb1AFg6BmINMGINMBIZX7O14I6/389wfgFAbEEiT9/2f/xiw60AXP/F9TXKKygM6jiIPwz6A/GB8d7zeZwcLThKhDUCq8EKzoqqZCXx595/hzwEtghw2+HkVvjmacjeD5/cBgZfMPpCr1tgyMOE+YVz/KUJLNpxiic//5ETuWW8s/Eob901kJHz1pCW520pcqKjvLQLpgr/yvhOhegoslrZ36UXO/OO0C8wnZKuk7GOfZo7guK447zbUbOeX01WhsK8oVoyAv34IDqc/v36AWAbM6b2X24b4y7xtv7pgs2VyQrA+XffHScKMXb2b+rQhGjVJGERrVJQ0HXVEpaPDYncuyMd8I7CiK8o5g9DBmHR63lu2KBqr80sLAIMdCiv32JzhYc3su2zt7BE9qMsLYHQvp0uWP76wcMo3utA7zEQWRDP+r+eYfqjTzN3+19xeWr2a1BR2ZaxjZ8v8yYifkY/Cu2F1cpEWDpyp82XoeUVxN3yTs0+KwGx0HkkrPsL7FkEFYXgKIZNr8POj+GOTyHqKm4ZEEl+mYM/fbWfV1cdZmS3YNb9bhT7zhQy8Y3vASjWVvUdKrQoLB3gg6rRsOz6O+gV+yjx0aFYa+l7BLA1ZjCLo6um9v9GH0D/C/622p5zLSxaa/URQb7XRFG62XursWRrhiQsQlwiSVhEq2S1diM29hGOH38DgO+UsZX7fF0lLEv0xWY21frazJIyMBjo4Ki44Dns+WfYv/xhckN3oxkKkWzG7/BzqAYTB7dmkJdeSmFWGaoKPjYDEd0DiO0VxLRB91DWq5xXn1+EX244AInafmy4fQO5FblE+0ZT7irnRNEJtBotDreDO7+6s/K8P01WAE6XZTCvQwBmj4et5030Vo1vR5j4Coz9M+QdhdwjsO6vkLkb3r8BLB2g391M6z6RdREaNpz2MOG1jbx7rcpX+VXrPT0xdQADenTB7VbJ8biZ7HKjVRTiLMaLDgkPdt7LGV1VwvLB9v0cSt3G/10XR//ott135ZxzLSwaa/VOxzo/I+aEDpTvzcVTXjNxFUJcmIwSEq1aYeFeNm1+jjVqKAtM93Hv6cW8mPoqANsGPsngibNqvObPS77hNb9Qbjp+iH/de1uN/R6PmyNfPcUpdQkea/WFGLN2TSbvwPg64zH76hk0oRMJIyIotZex4HHvl7erfwaPPvCLOl93puQMP2T9QEFFAT56H9yqm77Bfckuz+bFbS9yrLBqsbxdQ+ahxI+t81jVlGTDkoe8HXbd9srNhaqFPvZ3ahRfcN8gRnSr477YRRzLKeWaeWsxhK9AjVBwGuOxGwaBTo9S6uL17tH8PO4ifXVaOdWjcnrGRlAhbMZVaH2rt7LkLz5M6dYMzH2C6XBn92aKUoiWRUYJiXbBzy+BcTd8xjhgltPF9yf1cDZhGbz9b2zRmRlyw++rvSbb6f3rNriOkaVr1naDOuY2C+r5FQWHJhAc40twlC/+oRY0WoXCrHJSd2RSWuhg/cJDHNmZzai74ik3FWKu8MNdfOGWiXBrOOHW8BrbuwZ0ZenNS8mvyGfEZyO8G1c+DZ2G1zoaqAZrMNz1BbhdsOsz+P5VyDlECdXXAdIoMOemhMtOVgBSs4uxj43AzrQa+1SrnkdOpdMxyMKwAN/LPkdzstuzcboK0GosaLUmtFozGo25WquTO79qCQONpXoLi+p0U7bTOxmiz6C2nbgJ0RgkYRFthlWvY2yXBNy2SLRF3nlFhmz5E+qYJ6tNCJd99gslWFdznSH7eStNn6PVWjDqO1FRotA57K+MfLkLBlPNt87QW7qwd8MZNi0+wumD+Xw8cwtm/AD4wbGZ9/aUE+4Tjr/JnwifCDpaO6LX1D1rb51yU+GjyXDHJ+DToX6v0erA7A+FpwHIV6uShl8OjuLeYZ3oGnJliUTXcD/IyKh8bily4q/XUWjRUHq2IXdXcXmrTFhKS1PZsnUc4KmxT6MxodVa0GpMWE8PpAM/A2DvrCWoWuDsQ6vosTm8/x+0wcYaxxFCXJgkLKLN0V7zFCx9pPL5oe2fET+4qo9IPt7kJchUc5r0nNffIOC0jvwHXMSFTyckdjx6fQe02ot/wWi0GnpdE0lk9wDW/vsgp1PzUVSFLJ8T7AvZxI871lQvr2iIsEbQK6gXk7pMYkj4EDRK7c0+6vkTm5j8IG0LzPVOYsfDWyDkIovo7V0CX9wLqgcCYkmMHc7qwFI69B2Pn2/dE+tdik5+Zl7pFsnjh7zJ4l09w3kuLoIJOw6xo6gMo0bhoajgBjlXUysq+pFzyYpGY8Tjqbq95vFU4PFU4AS0npOV2/3dQeCmVsdWbqXbraMaMWIh2h5JWETb031CtYQlfvmDPJTjIazbKCJMek5avF/QAdbqt1RUj4fSjRsxF2ro7v8Flu79Luv0AR19mPxkfyrKHHx3dA0+aJhiv4v00nQySjPIt+dzpuQMdredtOI00orTWH5sOTG2GKYlTmNil4kXbHlR7lkOb523gN4/hsAvPodudQwbVlVY84I3Wel1G9z8Jmh1dL6sq7uwOyOCCDYZmJKSyrL9qczsEs6OIu9orG4WU6tdx8nh8C4/0DH0ZhIS/oaqunG7K3B7yvG4K3C7y3B7ytm7Yx7Hhj6Nkh5PqO2XuCtcqE43Hocb1ekh89BhXKqTkoNldEMSFiEuhSQsou2xBKL+/AOUL+6p3KQUneEfaVneJz7eWxLa5GRcg/qhCwwEoGL3btyFhShmM+ZeiVcchsliYEJi7Z1jPaqH3PJcUgtSWZu2lqVHlnKi6ASzNs3iX7v+xXNXP8egjoNqfS1GXxg/D5b/rmrbovvhqRO1T9GfugpyDoHOBBP+5r091IiGB1j57je/BGD1vDCY8zIAOc7WOzLG4fBOAGgweG/BKYoWnc4H3U86O7nLbTisZ/CE+BI3uWZCEpmRzvtPPIRnt4uTe3YRndi78YMXoo2QBS1Em6QkToaZOVTcv5b1Ez+m+5C7+XVkMPFm720gvdOB7b+LOTxsOCfunkL6zJmkPeJtlfEdPRrlAitCNwSNoiHYEkxSeBLTr5rOd7d+x+8G/o5AUyCnSk7xyHePcLrkdO0vnt+7erICkPSb2pOVI6u9yQxA/ylgavwRdJrzVtmOzkpnxntvoPF4SLc7WZqR2ejnbwwOp7eF5VzCUmc5h/faddray/l3DCNxlHfpiv0b1zZcgEK0A9LCItourR5TZD9GRPbj7Pga1K7hbFr2NZ4vvyQ0OAhHcRFlycmUJScDoAsJIeTJJ5o8VIvewtSEqdza7VbuWXEP+/P2s+rEKqYmTAXAU5J94QOc3gGf3wvF6VCW593mqoCCE96fIwfB9c814hVUUQzV+waNTv6eI5HRLBxzE7/54VvGjb0dvbZxE8KGdu6WkMFw4T44Lk8+OsBorLtc3KAkdq1aQdreHxsyRCHaPElYRLuiKApX3zQebvLOpeI4dZqS1d/hLijAGBeHz/ARaK11jGluAha9hWujr2V/3n5WnljJbfG3oaoqz22ZA0CA2+3tdHvdLMg5DAeXQ8FJOPxN7QfU6GHQNBg1A/Tm2ss0MNXPyu4YhV4nqjoK23VuNK48DOU7+UvycZ4Z8kyTxNJQnA5vEqjXX3jyOw/eSf/Mlog6y5QWFgCg1dfs9C2EqJskLKJdM0RGEDhlSnOHUc2YmDG8vettdmXv4rr/XIdeqyevIg8tGh4LHwX3vVZV+IaXIGOXdy0hjxN8w8AnyLvP44KOfeo/9LmB6DV69j10HT6vrKJzJuy5vjNvzJ7Jxo+9nZg/O+i9xsFhg1E9HhzHT4ACGosFzdk1nRr7ltylqurDElRt+8bv/0Rh4QoUpQynMxCrv7clZuuir1j9xhp6DB9FZI9EfDsE4XLYyT2VRvLSRQDEJw1v2osQopWThEWIFqazf2dev+51nt30LBmlGeCEEEsIc0fMpX/oT1bmURQI6+N9tCBPjv8z44q2oSssZUT/AYz32BkbO5Zvjn+DwalSuHoV6QeWUbx2Le7snJoH0OvRWCz433ILoX/4fc39TUhVPazOy+Wo3cCiNb/GYgzGqDWgV3SUFf+ATgGdAr3N3pWsPW4Fe4G39WT/hjXs37CmxjE7domj//ibmvQ6hGjtZGp+IVoot8fNvtx95Nvz6R/S37tqcyuy9MhSZmycAcCoU37cuB2y7HkknFQxnjdgSDGZUHQ6POXl4K4+cYk2KIhuGzc0Zdg15JYcZ9SiiahceEh2R0XPI769CXD1Iqhjf44kb8Ea2IGctOOUFxejMxqx2PzpMnAwPYePQqtrWa1IQjQXmZpfiFZOq9HSK7hXc4dx2W7qchOhllBmb5rNQx8dByDyvP366Cisw4ZjHno1n39RgRM9/ppCbJoiwnXpmFZ8jManHssPNLI8RwUqCkaNhtuiB2J3O3B4HNhddjJzs/nB5W1ZifTtw42T3kVzdlblnsNlnhUhGpK0sAghGlWFq4LUfgPROmuf9jUjZAD7et4HgKq6sBe8xo7EIZhdCves+IrhWzc1Zbg1bE3fyv0r76ezX2f+e/N/a+zv9aE3qfzPxP/Qo8NFZhwWQtQgLSxCiBbBpDORsGs3OJ0Ur11L8YpvsKemgk6LotcT6KoaLeO2/0BWYCirh00EYEuvTvxj5zpG9hvZXOGTU+7tYxNsrjlU2e62o9PocHlc+Bv9mzgyIdqXS0pY3nzzTd58802On10gLiEhgVmzZjFu3DgASkpKeOqpp1iyZAm5ubnExsby29/+loceeqjOY37wwQfce++9NbaXl5djMpkuJTwhRAulKAoYDNjGjME2puYSAue6DJcVJfH06/MBuGH1HKaus7Kr62hKuu9iwh/+rwkjrnIuYelgrjna6kDeAVweF4GmQDr6dGzq0IRoVy4pYYmMjOSll16ia9euAHz44YdMmjSJnTt3kpCQwOOPP86aNWv4+OOPiY2NZeXKlTz88MOEh4czadKkOo9rs9k4ePBgtW2SrAjR/lhsZl6d8RRzPSovfuXHD2E5UPo5B3ZAzJGfk9glrMljyirzLukQZK4+pPmhL/7Dt4cOozVfzYB+lla7TpIQrcUV92EJDAxk7ty5TJs2jcTERG6//XZmzpxZuX/AgAGMHz+e559/vtbXf/DBBzz22GMUFBRcSRjSh0WINkZ1OHj57p9VPv93xO2smHMrIb5N+8fMuT4qAIkdEgkIHMmxohD2r61awfvT30SRFCXrAglxOer7/X3Zawm53W4WLlxIaWkpSUlJAAwbNoylS5dy+vRpVFVlzZo1HDp0iLFja18A7pySkhJiYmKIjIxk4sSJ7Ny586Lnt9vtFBUVVXsIIdoOxWDg2mdfY6etL/sj+/KD7REC5oWjbnnLuwJ1I8rOzuY///kPn376KYOzBtMzrycaVcOOMiNf2oewKzu0Wnk/XUyjxiOEuIwWlt27d5OUlERFRQVWq5VPPvmE8ePPTnPucPCrX/2KBQsWoNPp0Gg0vPPOO9x99911Hm/Lli2kpqbSq1cvioqKmD9/PsuXL+fHH38kLi6uztfNnj2bOXPm1NguLSxCtC0VTjdZz8cTralaT8kV2g3dg9tqX/CxAbzyyisUFhZW29ZldBeWGaJZX+qHUuTAuLkqnm9/N5K4oNY1T44QLUV9W1guOWFxOBycPHmSgoICFi1axDvvvMO6devo2bMn8+bN4+2332bevHnExMSwfv16pk+fzuLFixk9enS9ju/xeOjfvz8jRozgtddeq7Oc3W7HbrdXPi8qKiIqKkoSFiHaIHfWIXgzCa3qwqFX2JDk7QBrsXRi4IAv0esb9j0/e/bsGtt+9atf8Y1q4OnD3lW0b7RZ+d/JPPr5mFg+Rm4HCXG5Gm1Ys8FgqOx0O3DgQJKTk5k/fz6vvvoqTz/9NIsXL2bChAkA9O7dm5SUFObNm1fvhEWj0TBo0CAOHz58wXJGoxGj0XjBMkKItkEb0g2ezYWj60hbf0fl9rKyY6zf0I/Bg/6Hr++VzYGiqiqKonD69Olq2xVFQVVVfH19MZU6AYgw6llWVAL+Bn4RK6ODhGgKVzwPi6qq2O12nE4nTqezcpbHc7RaLR6P55KOl5KSQq9erXeGTyFEI+k8ks6dzhCY+R0/7Pt15eZtyRMZPmwbBsOlL/ToKXeRMTcZT5kLXZCZTyq+q9wXHBxMdnY2KnDbvhOklHsnvzttd1aWmRQeePnXI4Sot0tKWJ5++mnGjRtHVFQUxcXFLFy4kLVr17JixQpsNhsjR47k97//PWazmZiYGNatW8eCBQt4+eWXK48xZcoUIiIiePHFFwGYM2cOQ4YMIS4ujqKiIl577TVSUlL4+9//3rBXKoRoExRFIaDjaK7reISDh2Zz6tRHAGzYOJhrRu5Gq7206fwrUvPxlHkXN6rIKaHUVF65z1mSC6gU2nwqk5XzaU+W4DtK5t8Uoilc0jstMzOTu+++m/T0dPz8/OjduzcrVqzg+uuvB2DhwoVMnz6dX/7yl+Tl5RETE8MLL7zAgw8+WHmMkydPVmuFKSgo4IEHHiAjIwM/Pz/69evH+vXrGTx4cANdohCirdLp/Ks9X7dmMNeO3lNneU9FBZ6SEnRB3jlVstNy2LLkffrhHem4Tr+vsuzwER9V/px5pDsL8U54p3G5UMtVtKdK+eHuIQ11KUKIi5C1hIQQrVZeXjI7U+6otu3aUYdRlFpmbPB4ODnlTkq370KxWFg16CXsBd5ZdW+O/i1GrZkftcdJ1h8BVIaP+Ljqpbm+jN57jD857+Jd93jiwnz5+N7BhNpkgkshrpSsJSSEaPP8/fuiejQoGm8/ucBj4znd/wyR/uetC+0ohcUPwv6llG4PB0AtK0NRtJVFduWvo3fASHr7diKkWzQB3UNJy03F49lCqLMzXW0JpNz1Ht3sHTnWM0xmtRWiGUjCIoRotTQaPRXuF0hcZ0Xn9MWNmwlLxjOutIQ/Z+dWmxnT46pKMs41Kxv9HsbWIYcBdw0kvFscOr2eqLP7uvLvaufqd/YhhGgecktICNHqrT65mkfXPFr5XFFVVqedJshdNULR44bc7AFUOMIIf+1faK0+zRGqEOIn5JaQEKLduDb6WnbevZNNpzawYvNfufnYDoIsoRAcD1FXQf8paPwiCW7uQIUQl00SFiFEm6DT6BgRPYoR0aOaOxQhRCO47MUPhRBCCCGaiiQsQgghhGjxJGERQgghRIsnCYsQQgghWjxJWIQQQgjR4knCIoQQQogWTxIWIYQQQrR4krAIIYQQosWThEUIIYQQLZ4kLEIIIYRo8SRhEUIIIUSLJwmLEEIIIVo8SViEEEII0eK1mdWaVVUFoKioqJkjEUIIIUR9nfvePvc9Xpc2k7AUFxcDEBUV1cyRCCGEEOJSFRcX4+fnV+d+Rb1YStNKeDwezpw5g6+vL8XFxURFRZGWlobNZmvu0EQtioqKpI5aOKmjlk/qqOWTOro4VVUpLi4mPDwcjabuniptpoVFo9EQGRkJgKIoANhsNvkP0sJJHbV8Ukctn9RRyyd1dGEXalk5RzrdCiGEEKLFk4RFCCGEEC1em0xYjEYjzz77LEajsblDEXWQOmr5pI5aPqmjlk/qqOG0mU63QgghhGi72mQLixBCCCHaFklYhBBCCNHiScIihBBCiBZPEhYhhBBCtHhtLmE5dOgQkyZNIigoCJvNxtVXX82aNWuqlVEUpcbjrbfeaqaI25/61NE5ubm5REZGoigKBQUFTRtoO3axOsrNzeWGG24gPDwco9FIVFQUjzzyiKzl1YQuVkc//vgjd955J1FRUZjNZnr06MH8+fObMeL2pz6fdY8++igDBgzAaDTSt2/f5gm0lWhzCcuECRNwuVysXr2aHTt20LdvXyZOnEhGRka1cu+//z7p6emVj6lTpzZTxO1PfesIYNq0afTu3bsZomzfLlZHGo2GSZMmsXTpUg4dOsQHH3zAqlWrePDBB5s58vbjYnW0Y8cOgoOD+fjjj9m7dy8zZsxg+vTpvPHGG80ceftRn886VVW57777uP3225sx0lZCbUOys7NVQF2/fn3ltqKiIhVQV61aVbkNUBcvXtwMEYr61pGqquo//vEPdeTIkep3332nAmp+fn4TR9s+XUodnW/+/PlqZGRkU4TY7l1uHT388MPqqFGjmiLEdu9S6+jZZ59V+/Tp04QRtj5tqoWlQ4cO9OjRgwULFlBaWorL5eKf//wnoaGhDBgwoFrZRx55hKCgIAYNGsRbb72Fx+Nppqjbl/rW0b59+3juuedYsGDBBRfDEg3vUt5H55w5c4Yvv/ySkSNHNnG07dPl1BFAYWEhgYGBTRhp+3W5dSQuoLkzpoZ26tQpdcCAAaqiKKpWq1XDw8PVnTt3Vivz/PPPq5s2bVJ37typzps3T7VYLOrzzz/fPAG3Qxero4qKCrV3797qRx99pKqqqq5Zs0ZaWJpYfd5Hqqqqd9xxh2o2m1VAvfHGG9Xy8vKmD7adqm8dnbNp0yZVr9erK1eubLog27lLqSNpYbm4VvGn6+zZs2vtKHv+Y/v27aiqysMPP0xISAgbNmxg27ZtTJo0iYkTJ5Kenl55vGeeeYakpCT69u3Lk08+yXPPPcfcuXOb8Qpbv4aso+nTp9OjRw/uuuuuZr6qtqWh30cAr7zyCj/88ANLlizhyJEjPPHEE810dW1DY9QRwN69e5k0aRKzZs3i+uuvb4Yrazsaq47ExbWKqflzcnLIycm5YJnY2Fi+//57xowZQ35+frVlvOPi4pg2bRpPPfVUra/9/vvvGTZsGBkZGYSGhjZo7O1FQ9ZR37592b17N4qiAN5OaR6PB61Wy4wZM5gzZ06jXktb1djvo40bNzJ8+HDOnDlDWFhYg8beXjRGHe3bt49Ro0Zx//3388ILLzRa7O1FY72PZs+ezZIlS0hJSWmMsNsEXXMHUB9BQUEEBQVdtFxZWRlAjT4PGo3mgn1Udu7ciclkwt/f/4ribM8aso4WLVpEeXl55b7k5GTuu+8+NmzYQJcuXRow6valsd9H5/72sdvtVxBl+9bQdbR3716uvfZapk6dKslKA2ns95GoW6tIWOorKSmJgIAApk6dyqxZszCbzbz99tscO3aMCRMmALBs2TIyMjJISkrCbDazZs0aZsyYwQMPPCCraTaB+tTRT5OSc3/N9OjRQ5LKJlCfOlq+fDmZmZkMGjQIq9XKvn37+MMf/sDVV19NbGxs815AO1CfOtq7dy+jRo1izJgxPPHEE5VDabVaLcHBwc0ZfrtQnzoCSE1NpaSkhIyMDMrLyytbWHr27InBYGim6FuoZus900iSk5PVMWPGqIGBgaqvr686ZMgQdfny5ZX7v/76a7Vv376q1WpVLRaLmpiYqL766quq0+lsxqjbl4vV0U9Jp9umd7E6Wr16tZqUlKT6+fmpJpNJjYuLU//4xz9KHTWhi9XRs88+qwI1HjExMc0XdDtTn8+6kSNH1lpPx44da56gW7BW0YdFCCGEEO1bqxglJIQQQoj2TRIWIYQQQrR4krAIIYQQosWThEUIIYQQLZ4kLEIIIYRo8SRhEUIIIUSLJwmLEEIIIVo8SViEEEII0eJJwiKEEEKIFk8SFiGEEEK0eJKwCCGEEKLFk4RFCCGEEC3e/wN8NUVWzgQpAAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"I will now figure out which vtds (tracts) are on the map boundary.  About 2min to run\")\n",
    "isMapBoundaryTract = [0]*nTracts\n",
    "for t in range(nTracts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "    if tractGeom[t].intersects(finalMAP.exterior) and t not in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        isMapBoundaryTract[t] = 1\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "05e892dc-783b-4e88-aa0e-011f0df938a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ready to draw 8941 Home Districts for a 99 -district OH map ( 119186.343 per district).  Map diagonal =  5.59267\n"
     ]
    }
   ],
   "source": [
    "MAP = finalMAP\n",
    "#nDistricts = 99   #OH legislative  #already defined above\n",
    "# avgDistrictPop = np.sum(tractPop) / float(nDistricts)\n",
    "bBox = MAP.bounds\n",
    "MAPMinX = bBox[0]  #these four are useful for slicing ops, and are basis for map grid (without buffer)\n",
    "MAPMinY = bBox[1]\n",
    "MAPMaxX = bBox[2]\n",
    "MAPMaxY = bBox[3]\n",
    "MAPdiagonal = ((MAPMaxY - MAPMinY)**2 + (MAPMaxX - MAPMinX)**2)**0.5\n",
    "maxR = MAPdiagonal\n",
    "MAPboundary = MAP.exterior\n",
    "print(\"ready to draw\",nTracts,\"Home Districts for a\",nDistricts,\"-district\",STATE,\n",
    "      \"map (\",r3(avgDistrictPop),\"per district).  Map diagonal = \",r5(maxR))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3ee429df-90fd-4872-abe2-0ea6c0db9573",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now ID the counties in various sub-regions that can make blue districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "region no, counties contained: 0 [47, 25, 34, 61, 86]\n",
      "region no, counties contained: 1 [3, 9, 14, 15, 17, 27, 37, 40, 42, 49, 51, 66, 75, 76, 77, 78, 84]\n",
      "region no, counties contained: 2 [24]\n",
      "region no, counties contained: 3 [30]\n",
      "region no, counties contained: 4 [46, 21, 38]\n",
      "region no, counties contained: 5 [20]\n",
      "region no, counties contained: 6 [56, 8, 11, 18, 28, 54, 67, 82]\n",
      "region no, counties contained: 7 [4, 36, 52, 57, 63, 81, 83]\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now ID the counties in various sub-regions that can make blue districts\")\n",
    "NWList = [47]\n",
    "LorainList = [46, 21, 38]\n",
    "NEList = []\n",
    "Franklin = [24]\n",
    "Delaware = [20]\n",
    "DaytonList = [56]\n",
    "Hamilton = [30]\n",
    "SEList = [4]\n",
    "regions = [NWList, NEList, Franklin, Hamilton, LorainList, Delaware,  DaytonList,  SEList]\n",
    "regionName = [\"NW\", \"NE\", \"Franklin\",\"Hamilton\",\"N-Lorain\",\"Delaware\", \"Dayton\",  \"SE\"]\n",
    "region_nD = [5, 30, 11, 7, 3,2,7, 1]\n",
    "nRegions = len(regions)\n",
    "for c in range(nCounties):\n",
    "    if c not in DaytonList and countyGeom[c].intersects(countyGeom[DaytonList[0]]):\n",
    "        DaytonList.append(c)\n",
    "    if c not in NWList and countyGeom[c].intersects(countyGeom[NWList[0]]) :\n",
    "        NWList.append(c)\n",
    "    if countyGeom[c].centroid.x > -82. and countyGeom[c].centroid.y > 40.3 :\n",
    "        NEList.append(c)\n",
    "    if c not in SEList and countyGeom[c].intersects(countyGeom[SEList[0]]) :\n",
    "        SEList.append(c)\n",
    "\n",
    "regionCountyList = [list()]*nRegions\n",
    "for r in regions:\n",
    "    rNo = regions.index(r)\n",
    "    regionCountyList[rNo] = list()\n",
    "    plotCenter(regionName[regions.index(r)],countyGeom[r[0]])\n",
    "    for c in r:\n",
    "        plotPoly(countyGeom[c])\n",
    "        regionCountyList[rNo].append(c)\n",
    "    if rNo%4 == 3:\n",
    "        plt.show()\n",
    "for r in regions:\n",
    "    print(\"region no, counties contained:\",regions.index(r),regionCountyList[regions.index(r)])        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "31fe4f5f-8686-4901-acda-503ce59c6f56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write the tract Biden and Trump pops and neighbor lists to a file before we start\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write the tract Biden and Trump pops and neighbor lists to a file before we start\")\n",
    "date = \"08Oct\"\n",
    "tractNo = [0]*nTracts\n",
    "for t in range(nTracts):\n",
    "    tractNo[t] = t\n",
    "df = pd.DataFrame( {\"tractNo\":tractNo,\"centroid x\":tractCPx,\"centroid y\":tractCPy,\"tractPop\":tractPop,\n",
    "                   \"countyNo\":countyNo,\"vtdBiden\":vtdBiden,\"vtdTrump\":vtdTrump,\"neighborList\":neighborList} ) \n",
    "\n",
    "outname = STATE+str(nDistricts)+\"vtd_input_data.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "586a8618-d042-4392-999a-c267c85def5d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I read in the original (non-munified) HD angles and radii for all 8941 tracts\n",
      "working on Home District 0\n",
      "working on Home District 1000\n",
      "working on Home District 2000\n",
      "working on Home District 3000\n",
      "working on Home District 4000\n",
      "working on Home District 5000\n",
      "working on Home District 6000\n",
      "working on Home District 7000\n",
      "working on Home District 8000\n",
      "All 8941 home districts built for  OH\n"
     ]
    }
   ],
   "source": [
    "#pull in HD1 wedge shapes here for legislative map -- get from the VTD file so HDs and VTDs line up\n",
    "infilename = \"OH99HD1vtd09Oct.csv\"\n",
    "df2 = pd.read_csv(\"state_HD_output/\"+infilename)\n",
    "tractPop3 = df2['tractPop']  #these four may include shifting demography out of corners - avoid overwrite for now\n",
    "tractVAP = df2['tractVAP']   #OOPS!  I forgot to write tractVAP to pre-Oct my state HD output files!!\n",
    "#tractHisp = df2['tractHisp']  #OOPS\n",
    "#tractBlack = df2['tractBlack'] #OOPS\n",
    "# ... and now the true outputs\n",
    "HDvPop = df2['HD-pop']\n",
    "HDvHisp = df2['HDvHisp']\n",
    "HDvBlack = df2['HDvBlack']\n",
    "HDvGOP = df2['HDvGOP']\n",
    "HDweight = df2['HDwt']\n",
    "HDarea = df2['HDarea']\n",
    "HDangle0 = df2['HDangle0']\n",
    "HDangle1 = df2['HDangle1']\n",
    "HDangle2 = df2['HDangle2']\n",
    "HDangle3 = df2['HDangle3']\n",
    "HDradius0 = df2['HDradius0']\n",
    "HDradius1 = df2['HDradius1']\n",
    "HDradius2 = df2['HDradius2']\n",
    "HDradius3 = df2['HDradius3']\n",
    "HDcounty = df2['countyNo']\n",
    "startAngle = df2['startAngle']\n",
    "\n",
    "#tractLoopCounter = df2['Loops']\n",
    "HDNo = df2['tractNo']\n",
    "HDCPx = df2['centroid x']\n",
    "HDCPy = df2['centroid y']\n",
    "tractUse = df2['tractUse']\n",
    "nHDs = len(tractPop)  #the Home Districts were built off of precincts (but previously were done on blockgroups)\n",
    "print(\"I read in the original (non-munified) HD angles and radii for all\",nTracts,\"tracts\")\n",
    "#Now, recreate each Home District geometry\n",
    "dummyPoly = Polygon([ (0,0),(1,0),(1,1),(1,0)])\n",
    "dummyPoint = Point(0,0)\n",
    "HDPoly = [dummyPoly]*nHDs\n",
    "nWedges = 4\n",
    "HDangle = [0.]*nWedges\n",
    "HDradius = [0.]*nWedges\n",
    "Pt = [Point(0,0)]*(nWedges*2)\n",
    "#HDcounty = [-999]*nHDs\n",
    "countyHDList = [list() for c in range(nCounties)]\n",
    "for t in range(nHDs):  #Don't worry, we'll build trivial zero-area HD's for skipped tracts\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on Home District\",t)\n",
    "    HDangle = [HDangle0[t],  HDangle1[t], HDangle2[t], HDangle3[t] ]\n",
    "    HDradius = [HDradius0[t], HDradius1[t], HDradius2[t], HDradius3[t] ]\n",
    "    #CP = Point( HDCPx[t],HDCPy[t] )\n",
    "    #c = 0\n",
    "    if tractPop3[t] > minTractPop:  #skip the unpopulated tracts for these lists\n",
    "        countyHDList[HDcounty[t]].append(t)\n",
    "    # while HDcounty[t] == -999 and c < nCounties:\n",
    "    #    if countyGeom[c].contains(CP) :\n",
    "    #        HDcounty[t] = c\n",
    "    #        countyHDList[c].append(t)\n",
    "    #    c +=1\n",
    "    if HDcounty[t] == -999:  #probably an island tract, just assign to closest county\n",
    "        print(\"tract\",t,\"at\",CP,\"might be an island tract\")\n",
    "        minDist = 1000.\n",
    "        for c in range(nCounties):\n",
    "            dist = countyGeom[c].distance(CP)\n",
    "            if dist < minDist:\n",
    "                HDcounty[t] = c\n",
    "                minDist = dist\n",
    "        print(\"we assigned it to county\",HDcounty[t])\n",
    "        countyHDList[c].append(t)\n",
    "    for nW in range(nWedges):\n",
    "        ccwAngle = HDangle[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle = HDangle[ int((nW+1)%4) ]\n",
    "        Pt[nW*2] = Point(HDCPx[t]+HDradius[nW]*math.cos(ccwAngle),\n",
    "                         HDCPy[t]+HDradius[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(HDCPx[t]+HDradius[nW]*math.cos(cwAngle),\n",
    "                           HDCPy[t]+HDradius[nW]*math.sin( cwAngle) )\n",
    "        \n",
    "    HDPoly[t] = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "print(\"All\",nHDs,\"home districts built for \",STATE)  \n",
    "isModifiedHD = [0]*nHDs  #we will flag HDs that need to be modified for county boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b40ba439-296a-45a6-aa24-6c60ace0a16c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "county 24 is a whole county ( 11.107 ) with pop 1323807.0 = 11.11 districts.\n",
      "county 30 is a whole county ( 6.969 ) with pop 830639.0 = 6.97 districts.\n",
      "county 42 is a whole county ( 1.952 ) with pop 232603.0 = 1.95 districts.\n",
      "county 49 is a whole county ( 1.918 ) with pop 228614.0 = 1.92 districts.\n",
      "county 69 is a perfect county with pop 124936.0\n",
      "county 82 is a whole county ( 2.033 ) with pop 242337.0 = 2.03 districts.\n",
      "county 84 is a perfect county with pop 116894.0\n",
      "all done computing each county's population center\n"
     ]
    }
   ],
   "source": [
    "# outdated: Each HD is assigned to one of x types  (see a below 10/19/22 block for regional specifics)\n",
    "# A) \"perfect\"; HD boundary = county boundary.  Banned from other HDs\n",
    "# B) \"wholeDistrict\"; has an integer number of legislative districts, determined via piecut or HD1 within county. Banned from other HDs\n",
    "# C) \"openRange\"; can pick up pop from any unbanned county\n",
    "# D) \"pairing\"; has <1 districts, helps a messy county square up by absorbing its remnant\n",
    "# E) messy counties; its HDs will be either \"inCounty\" or \"remnant\"; has non-integer >1 districts.  Most HDs are in-county, some pull in paired-county pop\n",
    "#    If \"inCounty\", all district pop must be harvested from in-county\n",
    "#    If \"remnant\", a specified fraction is in-county with remainder from counties in the \"pairingCounty\" list\n",
    "# Each HD in a pairing county is assigned \"inCounty\" or \"paired\" based on whether it absorbs a remnant\n",
    "#    If \"paired\", must absorb specified remnant before its own county, then openRange counties\n",
    "HDtype = [\"openRange\"]*nHDs  #default type, minimal constraints\n",
    "bannedCounties = [[]]*nHDs  #list of counties that cannot contribute pop to this HD\n",
    "pairedCounties = [[]]*nHDs  #list of counties that MUST contribute some pop to this HD\n",
    "primaryPairedCounty = [-999]*nHDs  #the paired county we must draw from before filling remainder with other neighbor counties\n",
    "isPerfectCounty = [0]*nCounties  #exactly one district fits in this county\n",
    "isWholeCounty = [0]*nCounties   #an integer number of districts fits well in this county\n",
    "countyStraddlerList = [list() for c in range(nCounties)]  #for messy counties, this will store the list of tracts which center districts that straddle counties\n",
    "countyStraddlerHDList = [list() for c in range(nCounties)]  #and these are the lists of HDtractLists triggered by the straddlers (including their implicated whole districts)\n",
    "isPairingCounty = [0]*nCounties  #a county exceeding a full district, but not an integer number of districts (has a remnant partial)\n",
    "bannedVTDList = [list() for t in range(nHDs)]  #for HDs inside a county w paired remnant, we can ban non-remnant VTDs from remnant HDs and vice versa\n",
    "bannedCounties = [list() for t in range(nHDs)]  #useful for openRange tracts\n",
    "HDtractList = [list() for t in range(nHDs)] * nHDs  #the list of whole tracts in each HD after \"snapping\" to whole tracts from orig HD1 shape\n",
    "HD_Choosers = [list() for t in range(nHDs)]*nHDs   #list of tracts which would select this independent HD\n",
    "planChoosers = list()   #list of HDs which prefer a regional plan\n",
    "districtTractList = list()  #list of tracts in a regionally-associated district, to be voted on\n",
    "planTLnos = list()  #list of dTL numbers associated with a regional plan\n",
    "planRegionNo = list()  #region associated with this regional plan\n",
    "chosenPlan = [-999]*nHDs    #regional plan that a particular tract would prefer\n",
    "needAltPlanList = list()  #temporary list of tracts who generated a regional plan that's discontiguous,\n",
    "#   so we'll later need to assign this tract an alternate regional plan\n",
    "GCP = [Point(0,0)]*nHDs  #GCP, PCP are a Home District's geographic and population center points\n",
    "PCP = [Point(0,0)]*nHDs\n",
    "districtPCP = list()   #for regionally-driven districts, we will create a separate list of their pop center points for easier cross-ref\n",
    "snappedHDpop = [0.] * nHDs  #the total pop in an HDtractList\n",
    "bigWholeList = []  #statewide list of tracts in big counties with integer number of districts\n",
    "\n",
    "for c in range(nCounties):\n",
    "    if countyPop[c] > 0.95 * avgDistrictPop and countyPop[c] < 1.05 * avgDistrictPop :\n",
    "        isPerfectCounty[c] = 1\n",
    "        isWholeCounty[c] = 1\n",
    "        print(\"county\",c,\"is a perfect county with pop\",countyPop[c])\n",
    "        for t in countyTractList[c]:\n",
    "            HDtype[t] = \"perfect\"\n",
    "            HDtractList[t] = countyTractList[c]\n",
    "            HD_Choosers[t] = [t]  #although all tracts chose the same 1-district plan, we count as if each tract specified its own plan\n",
    "    if countyPop[c] > 1.5 * avgDistrictPop: #exclude small counties\n",
    "        rcD = round(countyDistricts[c],0)\n",
    "        fracOffset = abs(countyDistricts[c] - rcD ) / rcD\n",
    "        if fracOffset < 0.05 -  min(0.03 , 0.002 * rcD) :  #exclude Stark w 3.145, Cuy 10.61 but include Franklin 11.11\n",
    "            isWholeCounty[c] = 1\n",
    "            print(\"county\",c,\"is a whole county (\",r3(countyDistricts[c]),\") with pop\",countyPop[c],\"=\",round(countyPop[c]/avgDistrictPop,2),\"districts.\")\n",
    "            for t in countyTractList[c]:\n",
    "                if countyDistricts[c] < 5.5:\n",
    "                    HDtype[t] = \"pieCut\"\n",
    "                else:\n",
    "                    HDtype[t] = \"bigWhole\"\n",
    "                    bigWholeList.append(t)  #list of tracts in large counties with integer number of districts\n",
    "    if countyPop[c] > 1.05 * avgDistrictPop and isWholeCounty[c] != 1:\n",
    "        isPairingCounty[c] = 1\n",
    "        for t in countyTractList[c]:\n",
    "            HDtype[t] = \"messy\"  #for now, will later be divided into inCounty and remnant\n",
    "for t in range(nHDs):  #now, we initialize a list of banned counties when building each HD, starting with whole counties outside this tract's county\n",
    "    c = HDcounty[t]\n",
    "    for cc in range(nCounties):\n",
    "        if isWholeCounty[cc] == 1 and c != cc:\n",
    "            bannedCounties[t].append(cc)\n",
    "\n",
    "def get_PCP(TRACTLIST, TRACTCP, TRACTPOP):  #function to get population centerpoint of a group of tracts (an HDtractList or county)\n",
    "    sumPop = 0.\n",
    "    PCPx = 0.\n",
    "    PCPy = 0.\n",
    "    for TT in TRACTLIST:\n",
    "        sumPop += TRACTPOP[TT]\n",
    "        PCPx += TRACTCP[TT].x * TRACTPOP[TT]\n",
    "        PCPy += TRACTCP[TT].y * TRACTPOP[TT]\n",
    "    PCPx = PCPx / sumPop\n",
    "    PCPy = PCPy / sumPop\n",
    "    return Point(PCPx, PCPy)\n",
    "\n",
    "countyPCP = [Point(0,0)]*nCounties  #each county's population centerpoint\n",
    "for c in range(nCounties):\n",
    "    countyPCP[c] = get_PCP(countyTractList[c], tractCP, tractPop3)\n",
    "print(\"all done computing each county's population center\")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "9b081dfb-61b4-4238-bcf1-35c43a83d569",
   "metadata": {},
   "source": [
    "# Data structure:\n",
    "\n",
    "#COMPUTE POPULATION and GEOGRAPHIC CENTROIDS OF EACH DRAWN DISTRICT:  PCP[t] amd GCP[t]\n",
    "Each tract gets an HDtractList of block groups assigned to its post-snapped HD\n",
    "Ohio is divided into isolated blue/purple regions surrounded by red counties.\n",
    "  Aside from Hamilton and Franklin counties, which are self-contained maps, these regions straddle multiple counties.\n",
    "Each region of interest can be mapped using many regional plans of one or more districts.\n",
    "Each tract in a region develops an HDtractList that snaps to a list of tracts, respecting no-split rules.\n",
    "   For multi-district regions, this HDTL choice cascades into a regional plan.\n",
    "After all regional plans created, each regional tract votes for the plan that has a district that best centers that tract.\n",
    "...\n",
    "Each regional plan gets a list of HDchoosers that voted for that plan, and an associated list of districts in the plan.\n",
    "\n",
    "These HDtractLists are either \"home\" or \"driven\" lists (driven by the specification of an adjacent district)\n",
    "  For example, in a 2-district county, specifying one HDtractList fixes the complementary HDtractList\n",
    "  Driven HDtractLists are listed after all nHDs home HDtractLists (their index is >= nHDs)\n",
    "Each tract has a list of \"chosenHDs\" which captures the list of HDs that tract is choosing, starting with its home HD, then its driven HDTL's.\n",
    "\n",
    "DIVIDE COUNTIES INTO TYPES - perfect/whole, messy (>1 non-integer), and tbd.  Update HD types in whole & messy\n",
    "\n",
    "\n",
    "DETERMINING HDtractLists:\n",
    "Blank out nHDs's number of HDtractLists\n",
    "Fill in HDtLs for perfect counties and whole counties.Initialize the HDchoosers list for each HD with its home tract. \n",
    "   For large whole counties, use HD1 on the county; ignore initial HDPoly in drawing the snapped HD.  Each tract votes only on its HD.  \n",
    "   For 2-district whole counties, append a complementary HDtractList, choose it for the tract and initialize its HDchooser list with that tract\n",
    "\n",
    "\n",
    "Each potential straddler evaluates its HDPoly's home-county pop, and/or pop from named neighbor counties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2829be20-0515-4461-97db-b0f13c0b081c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#seems to work\n",
    "def snapHD(t,TARGETPOP, TOLERPOP, allowedTractList,TRACTCP, TRACTPOP, ANGLE, CURRENTR, MAXR) : #this is the snapping function ...\n",
    "    snappedPop = 0.          # ... to generate a list of permissible tracts in an HD1 shape expanded or contracted to meet a target pop\n",
    "    Rratio = 1.0  #ratio of radii to original HD1 radii\n",
    "    MAX_DR = MAXR / np.min(CURRENTR)  #working in ratios here.  MAXR is typically the county radius, while city-based radii can be smaller\n",
    "    snapLoopNo = 0\n",
    "    maxSnapLoopNo = 15\n",
    "    ANGLE2 = [ANGLE[1], ANGLE[2], ANGLE[3], ANGLE[0] ]\n",
    "    while abs(snappedPop - TARGETPOP) > TOLERPOP and snapLoopNo < maxSnapLoopNo:\n",
    "        SNAPPEDHDTRACTLIST = []\n",
    "        #dr = 1.0  # COMMENT THIS BACK OUT LATER ************\n",
    "        if snapLoopNo > 0:  #we don't start bisecting until after the first loop\n",
    "            dr = MAX_DR * np.sign(TARGETPOP - snappedPop)\n",
    "            Rratio = max( 0.5 * Rratio, Rratio + dr)\n",
    "            MAX_DR = MAX_DR * 0.5        \n",
    "        snappedPop = 0.  #reset this loop's county pop ensnared in the HDpolly\n",
    "        HDpolly = TRACTCP[t].buffer(0.001) #seeding this loop's expanded or contracted HD1 polygon shape           \n",
    "        for nW in range(4):  #draw each wedge, add to the HDpolly\n",
    "            cR = Rratio * CURRENTR[nW]\n",
    "            outerPt2 = Point(TRACTCP[t].x+cR*math.cos(ANGLE[nW]), tractCP[t].y+cR*math.sin(ANGLE[nW]) )\n",
    "            outerPt3 = Point(TRACTCP[t].x+cR*math.cos(ANGLE2[nW]),tractCP[t].y+cR*math.sin(ANGLE2[nW]) )\n",
    "            HDpolly =  HDpolly.union( Polygon([TRACTCP[t],outerPt2,outerPt3]) )  #add this wedge to HD district polygon  \n",
    "        for tt in allowedTractList:\n",
    "            if HDpolly.contains(TRACTCP[tt]):\n",
    "                snappedPop += TRACTPOP[tt]\n",
    "                SNAPPEDHDTRACTLIST.append(tt)\n",
    "        snapLoopNo +=1\n",
    "    if snapLoopNo == maxSnapLoopNo:\n",
    "        print(\"Somehow, we did not converge on snapping HD\",t,\"to whole tracts. Final pop vs targetPop =\",r3(snappedPop),\"vs\",r3(TARGETPOP) )\n",
    "    return SNAPPEDHDTRACTLIST\n",
    "\n",
    "def getClosestTract(POINT, TRACTLIST, TRACTCP):  #useful for orienting piecuts in partially used pairing counties\n",
    "    minDist = 99999.\n",
    "    for tt in TRACTLIST:\n",
    "        dist = POINT.distance(TRACTCP[tt])\n",
    "        if dist < minDist:\n",
    "            closestTract = tt\n",
    "            minDist = dist\n",
    "    return closestTract  #returns the tract no of a tractlist's closest tract to the specified tract\n",
    "\n",
    "# below superseded by above\n",
    "# late Oct '22: define a function for doing a 2-district pie cut.   #10/22/22 - WORKS and forces contiguity\n",
    "# use this for Warren, Mahoning, Lake, Ashland+Medina, Knox + Licking and partial county carving\n",
    "def pieCut2(T,TARGETSLICEPOP, TOLERPOP, TRACTLIST, TRACTCP, TRACTPOP, origANGLE) :\n",
    "    ANGLE = origANGLE\n",
    "    minX =  88888\n",
    "    maxX = -88888\n",
    "    minY =  88888\n",
    "    maxY = -88888\n",
    "    sumPop = 0.\n",
    "    PCPx = 0.  #population centerpoint xvalue for all tracts in the list\n",
    "    PCPy = 0.\n",
    "    for tt in TRACTLIST:   #this loop, find the population centerpoint, the max diagonal across the bounding box of the tract centerpoints\n",
    "        sumPop += TRACTPOP[tt]\n",
    "        cpx = TRACTCP[tt].x\n",
    "        cpy = TRACTCP[tt].y\n",
    "        PCPx += cpx * TRACTPOP[tt]\n",
    "        PCPy += cpy * TRACTPOP[tt]\n",
    "        if cpx > maxX:\n",
    "            maxX = cpx\n",
    "        if cpy > maxY:\n",
    "            maxY = cpy\n",
    "        if cpx < minX:\n",
    "            minX = cpx\n",
    "        if cpy < minY:\n",
    "            minY = cpy\n",
    "    PCPx = PCPx / sumPop\n",
    "    PCPy = PCPy / sumPop\n",
    "    sliceDiam = 2.22* ( (maxX - minX)**2 + (maxY - minY)**2) ** 0.5  #the \"2.22\" is for padding\n",
    "    if ANGLE == -999:  #snippet to find orientation from this tract to the tractlist centroid ...\n",
    "        dx = TRACTCP[T].x - PCPx  \n",
    "        dy = TRACTCP[T].y - PCPy\n",
    "        radialAngle = math.pi/2. * np.sign(dy)\n",
    "        if dx != 0 :\n",
    "            radialAngle = math.atan(dy/dx)\n",
    "        cutAngle = 0.5* math.pi + radialAngle  #we cut perpendicular to the beeline to the county center\n",
    "    else:  #we specified a cut angle (for some county pairs, there's a single obvious angle)\n",
    "        cutAngle = ANGLE\n",
    "    #SIGN = -1.\n",
    "    guessedCenter = Point(PCPx, PCPy)\n",
    "    piePoly = makePiePoly(guessedCenter,cutAngle,sliceDiam)\n",
    "    if piePoly.disjoint(TRACTCP[T]):  #our cutAngle is 180deg off.  We want the slice to include our target tract\n",
    "        #print(cutAngle,\"cutAngle missed tract\",TRACTCP[T],\"with countyPCP\",Point(PCPx,PCPy))\n",
    "        cutAngle += math.pi\n",
    "        piePoly = makePiePoly(guessedCenter,cutAngle,sliceDiam)\n",
    "        #SIGN = 1.        \n",
    "    \n",
    "    dOffset = sliceDiam\n",
    "    nudge = 0.1*dOffset  #idea here is to take a step to confirm proper sign for bisection move\n",
    "    offCenter = Point(guessedCenter.x + nudge*math.sin(cutAngle), guessedCenter.y - nudge*math.cos(cutAngle))\n",
    "    offPiePoly = makePiePoly(offCenter,cutAngle,sliceDiam)  #a tentative offset to ensure we have correct sign for bisection\n",
    "    slicePop = 0.\n",
    "    offSlicePop = 0.\n",
    "    SIGN = 1.\n",
    "    sliceList = []  #list of HD centers included in the remnant to be paired\n",
    "    for tt in TRACTLIST:\n",
    "        if piePoly.contains(TRACTCP[tt]):\n",
    "            sliceList.append(tt)\n",
    "            slicePop += TRACTPOP[tt]\n",
    "        if offPiePoly.contains(TRACTCP[tt]):\n",
    "            offSlicePop += TRACTPOP[tt]\n",
    "    #print(\"for tract\",tt,\"naive guess leads to slicePop of\",slicePop,\"vs target\",TARGETSLICEPOP)\n",
    "    #print(\"offsetting the slice by\",nudge,\"leads to offSlicePop =\",offSlicePop)\n",
    "    #plotPoly(countyGeom[c])\n",
    "    #plotPoly(Point(PCPx,PCPy).buffer(0.02))\n",
    "    #plotPoly(piePoly)\n",
    "    #plotPoly(offPiePoly)\n",
    "    #plt.show()\n",
    "    if offSlicePop < slicePop:\n",
    "        SIGN = -1.  #a positive nudge reduced our pie slice pop, so we must invert the sign of bisection moves\n",
    "    counter = 0\n",
    "    while abs(slicePop - TARGETSLICEPOP) > TOLERPOP and counter < 14:  #use bisection method to optimize slice point\n",
    "        sliceList = []\n",
    "        offsetChange = dOffset * SIGN*np.sign(TARGETSLICEPOP - slicePop)\n",
    "        guessedCenter = Point(guessedCenter.x + offsetChange*math.sin(cutAngle), guessedCenter.y - offsetChange*math.cos(cutAngle))\n",
    "        dOffset = dOffset * 0.5\n",
    "        piePoly = makePiePoly(guessedCenter,cutAngle,sliceDiam)\n",
    "        slicePop = 0.\n",
    "        for tt in TRACTLIST:\n",
    "            if piePoly.contains(TRACTCP[tt]):\n",
    "                sliceList.append(tt)\n",
    "                slicePop += TRACTPOP[tt]            \n",
    "        #print(counter,\"= loop no for tract\",t,\". Current slicePop is\",slicePop,\"with change in offset of\",offsetChange)\n",
    "        #plotPoly(tractCP[T].buffer(0.01))\n",
    "        #plotPoly(countyGeom[c])\n",
    "        #plotPoly(Point(PCPx,PCPy).buffer(0.02))\n",
    "        #plotPoly(piePoly)\n",
    "        #plt.show()\n",
    "        counter +=1\n",
    "    if abs(slicePop - TARGETSLICEPOP) > TOLERPOP:\n",
    "        print(\"OFFTARGET: the final piecut pop for tract\",T,\"is\",slicePop,\"vs target\",TARGETSLICEPOP)\n",
    "    if T in sliceList:  #normal result; our target tract is in the piePoly\n",
    "        sliceTRACTLIST = sliceList\n",
    "        #print(\"there are\",len(sliceTRACTLIST),\"tracts in the pie slice which captured tract\",t)\n",
    "    else:   \n",
    "        if origANGLE == -999:  #when we force an angle, about half the time we cut the wrong slice; ignore\n",
    "            print(\"oops, we cut the opposite pie slice. Pass back the complement to the sliceList for tract\",T)\n",
    "        sliceTRACTLIST = []\n",
    "        for tt in TRACTLIST:\n",
    "            if tt not in sliceList:\n",
    "                sliceTRACTLIST.append(tt)\n",
    "        #print(\"there are\",len(sliceTRACTLIST),\"tracts in the pie slice which excluded tract\",t)\n",
    "    return sliceTRACTLIST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9fc2c313-addb-4897-9347-6b3161267f88",
   "metadata": {},
   "outputs": [],
   "source": [
    "# note to self -- b = a.copy() for sorted lists, blank list = list() - fix in all around here\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7910b3b7-d014-4117-a62c-774d35a35fdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "expect about 15 sec per 2-district map\n",
      "working on the 2-district map including county [42]\n",
      "plan for tract 5063 had a discontinuous district in it\n",
      "working on the 2-district map including county [49]\n",
      "plan for tract 1776 had a discontinuous district in it\n",
      "plan for tract 1789 had a discontinuous district in it\n",
      "plan for tract 1803 had a discontinuous district in it\n",
      "plan for tract 1818 had a discontinuous district in it\n",
      "plan for tract 1879 had a discontinuous district in it\n",
      "oops, we cut the opposite pie slice. Pass back the complement to the sliceList for tract 1886\n",
      "plan for tract 1896 had a discontinuous district in it\n",
      "plan for tract 1899 had a discontinuous district in it\n",
      "plan for tract 2125 had a discontinuous district in it\n",
      "plan for tract 2127 had a discontinuous district in it\n",
      "plan for tract 2128 had a discontinuous district in it\n",
      "plan for tract 2131 had a discontinuous district in it\n",
      "plan for tract 2134 had a discontinuous district in it\n",
      "plan for tract 2137 had a discontinuous district in it\n",
      "plan for tract 2147 had a discontinuous district in it\n",
      "plan for tract 2151 had a discontinuous district in it\n",
      "plan for tract 2153 had a discontinuous district in it\n",
      "plan for tract 2183 had a discontinuous district in it\n",
      "plan for tract 2209 had a discontinuous district in it\n",
      "plan for tract 2215 had a discontinuous district in it\n",
      "working on the 2-district map including county [82]\n",
      "plan for tract 5998 had a discontinuous district in it\n",
      "plan for tract 6026 had a discontinuous district in it\n",
      "oops, we cut the opposite pie slice. Pass back the complement to the sliceList for tract 6027\n",
      "plan for tract 6032 had a discontinuous district in it\n",
      "plan for tract 6041 had a discontinuous district in it\n",
      "plan for tract 6046 had a discontinuous district in it\n",
      "plan for tract 6047 had a discontinuous district in it\n",
      "plan for tract 6048 had a discontinuous district in it\n",
      "plan for tract 6049 had a discontinuous district in it\n",
      "plan for tract 6060 had a discontinuous district in it\n",
      "plan for tract 6064 had a discontinuous district in it\n",
      "plan for tract 6070 had a discontinuous district in it\n",
      "plan for tract 6090 had a discontinuous district in it\n",
      "plan for tract 6094 had a discontinuous district in it\n",
      "plan for tract 6099 had a discontinuous district in it\n",
      "plan for tract 6101 had a discontinuous district in it\n",
      "plan for tract 6106 had a discontinuous district in it\n",
      "plan for tract 6118 had a discontinuous district in it\n",
      "plan for tract 6124 had a discontinuous district in it\n",
      "working on the 2-district map including county [2, 51]\n",
      "working on the 2-district map including county [41, 44]\n",
      "all done making 2-district maps for all 2-district counties and 2-district paired counties\n",
      "there were a total of 38 tracts which generated discontinuous 2-district plans\n",
      "We will now make them vote among the other plans in their region\n"
     ]
    }
   ],
   "source": [
    "pieCutLists = [[42], [49], [82], [2,51], [41,44]]  #Lake, Mahoning, Warren, Ashland-Medina, Knox-Licking\n",
    "pieCutAngles = [-999,-999,-999, -pi/4., 0.]   #for single counties, \"-999\" tells the pieCut2 to slice the pie at a tract-specific angle\n",
    "pieSlices = [2,2,2,2,2]\n",
    "pieRegionNo = [1,1,nRegions+1,1,nRegions+1]   #for now, we exclude Warren and K-L from regions b/c we expect them to always favor GOP\n",
    "print(\"expect about 15 sec per 2-district map\")\n",
    "needAltPlanList = list()\n",
    "for pieNo in range(len(pieCutLists)) :\n",
    "    print(\"working on the 2-district map including county\",pieCutLists[pieNo])\n",
    "    ANGLE = pieCutAngles[pieNo]\n",
    "    pieTractList = []\n",
    "    piePop = 0.\n",
    "    for c in pieCutLists[pieNo]:\n",
    "        piePop += countyPop[c]\n",
    "        for t in countyTractList[c]:\n",
    "            pieTractList.append(t)   \n",
    "    targetPop = piePop/pieSlices[pieNo]\n",
    "    tolerPop = 0.02 * targetPop\n",
    "    \n",
    "    for t in pieTractList:\n",
    "        HDtractList[t] = debug_pieCut2(t, targetPop, tolerPop, pieTractList, tractCP, tractPop3, ANGLE)\n",
    "        PCP[t] = get_PCP(HDtractList[t], tractCP, tractPop3)\n",
    "        complementaryList = []\n",
    "        for tt in pieTractList:  #this loop -- building the HDTL of the complementary district\n",
    "            if tt not in HDtractList[t]:\n",
    "                complementaryList.append(tt)\n",
    "        if isContiguous(HDtractList[t],neighborList) and isContiguous(complementaryList,neighborList):  #reject discontiguous plans\n",
    "            dTLno = len(districtTractList)  #this equals the number of regionally-driven district tractLists AFTER we add this new one\n",
    "            planNo = len(planTLnos)\n",
    "            chosenPlan[t] = planNo\n",
    "            planChoosers.append([t])  #for two-district regions, we force each tract to choose its piecut plan\n",
    "            planRegionNo.append(pieRegionNo[pieNo])\n",
    "            planTLnos.append([dTLno])  #seed a NEW plan with this district as first in the regional plan list\n",
    "            districtTractList.append(HDtractList[t])               \n",
    "            districtPCP.append(PCP[t])\n",
    "                \n",
    "            districtTractList.append(complementaryList)   #store this complementary district as a new  regional tractList ...\n",
    "            planTLnos[planNo].append(dTLno+1)  #... and add it to the list of districts associated with this regional plan\n",
    "            districtPCP.append(get_PCP(complementaryList, tractCP, tractPop3) )\n",
    "        else:\n",
    "            needAltPlanList.append(t)\n",
    "            #print(\"plan for tract\",t,\"had a discontinuous district in it\")\n",
    "print(\"all done making 2-district maps for all 2-district counties and 2-district paired counties\")\n",
    "print(\"there were a total of\",len(needAltPlanList),\"tracts which generated discontinuous 2-district plans\")\n",
    "print(\"We will now make them vote among the other plans in their region\")\n",
    "for t in needAltPlanList:\n",
    "    minDistance = 88888.  #big number\n",
    "    bestDistrict = -999\n",
    "    for planNo in range( len(planTLnos) ):  #yes this framework is overkill for two-district plans, but roll w it, pls\n",
    "        if 1 == 1: #planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            for d in planTLnos[planNo] :\n",
    "                if t in districtTractList[d]:   #.. and this tract can only vote if it's in a district\n",
    "                    currentDistance = districtPCP[d].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = d\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict == -999:   #debug\n",
    "        print(\"Error!  found no plan districts that included tract\",t,\"in county\",countyNo[t])\n",
    "    else:\n",
    "        planChoosers[bestPlan].append(t)\n",
    "        chosenPlan[t] = bestPlan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1fb9c3dd-6e46-49a8-af1a-429e0cd8b89e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5063, 1776, 1789, 1803, 1818, 1879, 1896, 1899, 2125, 2127, 2128, 2131, 2134, 2137, 2147, 2151, 2153, 2183, 2209, 2215, 5998, 6026, 6032, 6041, 6046, 6047, 6048, 6049, 6060, 6064, 6070, 6090, 6094, 6099, 6101, 6106, 6118, 6124]\n"
     ]
    }
   ],
   "source": [
    "print(needAltPlanList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d542dc50-6f84-4d70-a93e-d523bce1d360",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1] [2, 3] [1640, 1641] 1642\n",
      "we made 1642 new districts and 821 plans\n",
      "we should have made 1642 new districts\n"
     ]
    }
   ],
   "source": [
    "#debug\n",
    "print(planTLnos[0],planTLnos[1], planTLnos[len(planTLnos)-1],len(districtTractList))\n",
    "print(\"we made\",len(districtTractList),\"new districts and\",len(planChoosers),\"plans\")  #testing piecut2 ...\n",
    "nCuts = 0\n",
    "for pieNo in range(len(pieCutLists)) :\n",
    "    for c in pieCutLists[pieNo]:\n",
    "        nCuts += len(countyTractList[c])\n",
    "print(\"we should have made\",2*(nCuts-len(needAltPlanList)),\"new districts\")\n",
    "needAltPlanList = list()  #reset for next round\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "44c1e017-a5a4-40c2-a5af-f380295cd4b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function creates a list of \"straddler\"-centering tracts in a county that has at least one whole district plus a partial\n",
    "def get_straddlers(targetStraddlerPop, COUNTYPOP, COUNTYLIST, INLIST, MUSTINTERSECTGEOM,HDPOLY, TRACTCP, TRACTPOP): #..based on HDPoly\n",
    "    # for some constrained situations, only HDPoly's that intersect a certain neighboring county can become straddlers. \n",
    "    straddlerType = \"lowInCounty\"\n",
    "    SIGN = 1.\n",
    "    if COUNTYLIST[0] not in INLIST:\n",
    "        straddlerType = \"highExCounty\"\n",
    "        SIGN = -1.\n",
    "    countedPop = [0.]*len(HDPOLY)\n",
    "    if straddlerType == \"lowInCounty\":\n",
    "        countedPop = [COUNTYPOP]*len(HDPOLY)  #inflate these for tracts we don't care about, so they stay high after sorting\n",
    "    for T in COUNTYLIST:\n",
    "        countedPop[T] = 0.  #zero out (again) to cover lowInCounty situation\n",
    "        for tt in INLIST:\n",
    "            if HDPOLY[T].contains(TRACTCP[tt]) and HDPOLY[T].intersects(MUSTINTERSECTGEOM):\n",
    "                countedPop[T] += SIGN * TRACTPOP[tt]  #if we're counting exCounty pop, we want the biggest (most negative) summed pop after sorting\n",
    "    sortedCountedPop = countedPop.copy()\n",
    "    if straddlerType == \"lowInCounty\":\n",
    "        sortedCountedPop.sort()  #sorting from biggest to smallest inCounty pop   \n",
    "    if straddlerType == \"highExCounty\":\n",
    "        sortedCountedPop.sort()\n",
    "    \n",
    "    straddlerPop = 0.\n",
    "    halfTractPop = 0.5 * COUNTYPOP / len(COUNTYLIST)  #local average for half of tract population\n",
    "    straddlerTracts = []\n",
    "    counter = 0\n",
    "    while straddlerPop < targetStraddlerPop - halfTractPop:\n",
    "        T = countedPop.index(sortedCountedPop[counter])\n",
    "        straddlerPop += TRACTPOP[T]\n",
    "        straddlerTracts.append(T)\n",
    "        counter +=1\n",
    "    return straddlerTracts\n",
    "# ***********************\n",
    "def get_ppCstraddlers(targetStraddlerPop, COUNTYPOP, COUNTYLIST, mCstraddlerList, HDTRACTLIST, TRACTPOP) : #similar to above, but via tract list, not HDPoly\n",
    "    #straddlerType = \"highExCounty\"  #ppC's always use the highExCounty logic driven by the mC's straddler tractlist\n",
    "    SIGN = -1.                       #... so we use negative sign\n",
    "    countedPop = [0.]*len(TRACTPOP)\n",
    "    for T in COUNTYLIST:\n",
    "        for tt in mCstraddlerList:\n",
    "            if T in HDTRACTLIST[tt] :\n",
    "                countedPop[T] += SIGN * TRACTPOP[tt]  #if we're counting exCounty pop, we want the biggest (most negative) summed pop after sorting\n",
    "    sortedCountedPop = countedPop.copy()    \n",
    "    #if straddlerType = \"highExCounty\":\n",
    "    sortedCountedPop.sort()\n",
    "    \n",
    "    straddlerPop = 0.\n",
    "    halfTractPop = 0.5 * COUNTYPOP / len(COUNTYLIST) \n",
    "    straddlerTracts = []\n",
    "    counter = 0\n",
    "    while straddlerPop < targetStraddlerPop - halfTractPop:\n",
    "        T = countedPop.index(sortedCountedPop[counter])\n",
    "        straddlerPop += TRACTPOP[T]\n",
    "        straddlerTracts.append(T)\n",
    "        counter +=1\n",
    "    return straddlerTracts\n",
    "# *******************************"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "222d73af-ad3e-4c55-be75-88697acc7168",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now working on Athens county 4. Add whole counties + one partial from neighbors only\n",
      "then ID tracts in neighbor counties with most Athens HDPoly pop to add them as voting tracts\n",
      "all done drawing snapped HDs for main county and its nearby voters, total voting pop/aDP = 0.999\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now we create the HDtractLists for these non-mC voting tracts\n"
     ]
    }
   ],
   "source": [
    "#10/29/22 Athens - good to go !!\n",
    "print(\"now working on Athens county 4. Add whole counties + one partial from neighbors only\")\n",
    "print(\"then ID tracts in neighbor counties with most Athens HDPoly pop to add them as voting tracts\")\n",
    "mC = 4\n",
    "currentRegionNo = 7\n",
    "pairedCountyList = neighborCountyList[mC]\n",
    "for t in countyTractList[mC]:\n",
    "    HDtractList[t] = countyTractList[mC].copy()\n",
    "    usableCountyList = pairedCountyList.copy()\n",
    "    snappedHDpop[t] = countyPop[mC]\n",
    "    countyFracUse = [0]*nCounties        \n",
    "    for cc in usableCountyList:\n",
    "            for tt in countyTractList[cc]:\n",
    "                overlap = HDPoly[t].intersection(tractGeom[tt]).area\n",
    "                if overlap > 0:\n",
    "                    countyFracUse[cc] += overlap/tractGeom[tt].area * tractPop3[tt]/ countyPop[cc]    \n",
    "    while snappedHDpop[t] < 0.95 * avgDistrictPop:\n",
    "        mostUsedCounty = countyFracUse.index(np.max(countyFracUse))\n",
    "        maxHDpopGap = 1.05 * avgDistrictPop - snappedHDpop[t]\n",
    "        #print(\"        t, picked county, its pop, maxHDpopGap are\",t,mostUsedCounty,countyPop[mostUsedCounty],r3(maxHDpopGap))\n",
    "        if countyPop[mostUsedCounty] < maxHDpopGap:  #add the full county; we won't go over\n",
    "            HDtractList[t] = HDtractList[t] + countyTractList[mostUsedCounty]\n",
    "            snappedHDpop[t] += countyPop[mostUsedCounty]\n",
    "            countyFracUse[mostUsedCounty] = 0.  #so we don't pick it again            \n",
    "        else:  #adding a final partial county.  Aim for 1.0 aDP\n",
    "            mopupPop = avgDistrictPop - snappedHDpop[t]\n",
    "            mopupPool = countyTractList[mostUsedCounty].copy()    \n",
    "            mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "            AnGlE = -999\n",
    "            snappedTolerPop = 0.05 * avgDistrictPop\n",
    "            mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, AnGlE)    \n",
    "            #alt approach: \n",
    "            #mopupList = snapHD(t,mopupPop, snappedTolerPop, mopupPool,tractCP, tractPop3, HDangle, HDradius, 2.*bigR)\n",
    "            for tt in mopupList:\n",
    "                snappedHDpop[t] += tractPop3[tt]\n",
    "                HDtractList[t].append(tt)\n",
    "    #print(\"all done with tract\",t,\"in county\",mC,\"snapped HDpop =\",snappedHDpop[t])\n",
    "#now, ID (1-0.52)*aDP of tracts as additional HDtractlists and voters\n",
    "AthensPop = [0]*nHDs\n",
    "\n",
    "nearMCtractList = []\n",
    "totalNearMCpop = 0.\n",
    "for c in neighborCountyList[mC]:\n",
    "    for t in countyTractList[c]:\n",
    "        nearMCtractList.append(t)\n",
    "        totalNearMCpop += tractPop3[t]\n",
    "targetStraddlerPop = avgDistrictPop - countyPop[mC]\n",
    "nonMCVotingList = get_straddlers(targetStraddlerPop, totalNearMCpop, nearMCtractList, countyTractList[mC],\n",
    "                                countyGeom[mC],HDPoly, tractCP, tractPop3)\n",
    "AthensVotingList = countyTractList[mC] + nonMCVotingList\n",
    "AthensVotingPop = 0.\n",
    "for t in AthensVotingList:\n",
    "    AthensVotingPop += tractPop3[t]\n",
    "print(\"all done drawing snapped HDs for main county and its nearby voters, total voting pop/aDP =\",\n",
    "      r3(AthensVotingPop/avgDistrictPop) )\n",
    "plotPoly(countyGeom[mC])\n",
    "for cc in neighborCountyList[mC]:\n",
    "    plotPoly(countyGeom[cc])\n",
    "for t in nonMCVotingList:\n",
    "    plotPoly(tractCP[t].buffer(0.02))\n",
    "plt.show()\n",
    "\n",
    "print(\"now we create the HDtractLists for these non-mC voting tracts\")\n",
    "for t in nonMCVotingList:\n",
    "    MC = countyNo[t]  #similar to mC above, but we don't want to overwrite the mC value\n",
    "    HDtractList[t] = countyTractList[MC].copy()\n",
    "    usableCountyList = neighborCountyList[MC].copy()\n",
    "    snappedHDpop[t] = countyPop[MC]\n",
    "    countyFracUse = [0]*nCounties        \n",
    "    for cc in usableCountyList:\n",
    "            for tt in countyTractList[cc]:\n",
    "                overlap = HDPoly[t].intersection(tractGeom[tt]).area\n",
    "                if overlap > 0:\n",
    "                    countyFracUse[cc] += overlap/tractGeom[tt].area * tractPop3[tt]/ countyPop[cc]    \n",
    "    while snappedHDpop[t] < 0.95 * avgDistrictPop:\n",
    "        mostUsedCounty = countyFracUse.index(np.max(countyFracUse))\n",
    "        maxHDpopGap = 1.05 * avgDistrictPop - snappedHDpop[t]\n",
    "        # print(\"        t, picked county, its pop, maxHDpopGap are\",t,mostUsedCounty,countyPop[mostUsedCounty],r3(maxHDpopGap))\n",
    "        if countyPop[mostUsedCounty] < maxHDpopGap:  #add the full county; we won't go over\n",
    "            HDtractList[t] = HDtractList[t] + countyTractList[mostUsedCounty]\n",
    "            snappedHDpop[t] += countyPop[mostUsedCounty]\n",
    "            countyFracUse[mostUsedCounty] = 0.  #so we don't pick it again            \n",
    "        else:  #adding a final partial county.  Aim for 1.0 aDP\n",
    "            mopupPop = avgDistrictPop - snappedHDpop[t]\n",
    "            mopupPool = countyTractList[mostUsedCounty].copy()    \n",
    "            mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "            AnGlE = -999\n",
    "            snappedTolerPop = 0.05 * avgDistrictPop\n",
    "            mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, AnGlE)    \n",
    "            #alt approach: \n",
    "            #mopupList = snapHD(t,mopupPop, snappedTolerPop, mopupPool,tractCP, tractPop3, HDangle, HDradius, 2.*bigR)\n",
    "            for tt in mopupList:\n",
    "                snappedHDpop[t] += tractPop3[tt]\n",
    "                HDtractList[t].append(tt)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "46f0e560-c2c5-488f-99b3-db2fe6510579",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are some HDtractLists for near-Athens (voting) tracts.  The tract's home county is not filled in\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Here are some HDtractLists for near-Athens (voting) tracts.  The tract's home county is not filled in\")\n",
    "for t in nonMCVotingList:\n",
    "    if t%30 == 0:\n",
    "        plotPoly(tractCP[t].buffer(0.02))\n",
    "        plotPoly(countyGeom[mC])\n",
    "        for cc in neighborCountyList[mC]:\n",
    "            plotPoly(countyGeom[cc])\n",
    "        for tt in HDtractList[t]:\n",
    "            if countyNo[tt] != countyNo[t]:\n",
    "                plotPoly(tractGeom[tt])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "48dde9d5-5c68-46cd-8ff3-c869ef0e66a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now all Athens-area tracts vote (among their HDs) for the snapped HD that most centers them\n",
      "All done voting on plans for region.  Here are the plan winner centerpoints for region 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now all Athens-area tracts vote (among their HDs) for the snapped HD that most centers them\")\n",
    "currentRegionNo = 7\n",
    "regionalVotingList = AthensVotingList.copy()\n",
    "counter = 0\n",
    "for t in regionalVotingList:  #the above blocks did not yet create regional \"plans\" of 1 district each, so do that now\n",
    "    counter +=1\n",
    "    bestHDTL = -999\n",
    "    planTLnos.append( [len(districtTractList)] )\n",
    "    planChoosers.append([])      #we'll do the actual choosing in the next loop\n",
    "    planRegionNo.append(currentRegionNo)\n",
    "    districtTractList.append(HDtractList[t])\n",
    "    districtPCP.append( get_PCP(HDtractList[t], tractCP, tractPop3) )\n",
    "for t in regionalVotingList:\n",
    "    minDistance = 88888.  #big number\n",
    "    bestDistrict = -999\n",
    "    for planNo in range( len(planTLnos) ):  #yes this framework is overkill for one-district plans, but roll w it, pls\n",
    "        if planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            for d in planTLnos[planNo] :\n",
    "                if t in districtTractList[d]:   #.. and this tract can only vote if it's in a district (some pC tracts not drawn in)\n",
    "                    currentDistance = districtPCP[d].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = d\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict == -999:   #debug\n",
    "        print(\"Error!  found no plan districts that included tract\",t,\"in region\",currentRegionNo)\n",
    "    else:\n",
    "        planChoosers[bestPlan].append(t)\n",
    "        chosenPlan[t] = bestPlan\n",
    "print(\"All done voting on plans for region.  Here are the plan winner centerpoints for region\",currentRegionNo)\n",
    "plotPoly(countyGeom[mC])\n",
    "for planNo in range( len(planTLnos) ):\n",
    "    if planRegionNo[planNo] == currentRegionNo:\n",
    "        if len(planChoosers[planNo]) > 0:\n",
    "            plotCenter(len(planChoosers[planNo]),districtPCP[planTLnos[planNo][0]].buffer(0.02) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b7973a16-c162-49c4-8bc3-7595902219c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is a plot of all plans with at least six votes. Vote number at plan center, circles=tract votes\n"
     ]
    },
    {
     "data": {
      "image/png": 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QENJJeuHChRg/fnxw1NiqVatw/fXXY9KkSbBarXjhhRdQWVmJl156KfiawsJCLFiwAFlZWcjJycHLL7+MmpoaLF26VIxrQDGOsy1Lq7GN68oRUWwIKxTV1dVhwYIFsFgsMJlMyMjIQGlpKebOnQsAsFgsKCwsRF1dHcaNG4eFCxdi5cqVIfuoqamBXN5ZoGpubsbPfvYz1NbWwmQy4eqrr8ZHH32E6667LrjN3XffjYaGBjz11FOwWCyYPn06du7cibS0tIGcOw0T7AgsrSYuBktEMUImCIIQ6YMYLFarFSaTCS0tLTAajZE+HBokv373GH73wQkszEnDU/nTI304MSdv3R4ctVix6b7r8O3J5kgfDhHFoMH6/ObaZxTzAqPPWCmSBkefEVGsYCiimNfYylAkFUEQOkMnl1AhoijHUEQxL/ChzdFn4rO7vHB5fABYKSKi6MdQRDGPHYGlE7i2WpUcceoLT9JKRBQNGIoo5nFtLuk0BgMnh+MTUfRjKKKY5vMJaGpjpUgqnYGTEzcSUfRjKKKY1tLuhq9j0okR7PMiukbOFk5EMYShiGJaoJN1vFYJtZJvd7GxCkdEsYSfEhTTuMSHtBrYX4uIYghDEcU0LgYrLU7cSESxhKGIYhqH40sruK4cJ24kohjAUEQxjc070mpkpYiIYghDEcU0VoqkFZwtnNeXiGIAQxHFNH5oS6uRoZOIYghDEcU0Nu9Ix+P1oaXdDYChk4hiA0MRxTQOyZdOS7sbQmBizDjOaE1E0U8Z6QMYzt7+lwWvfvwV4tQKjNCpYYpTwhSnwog4NUxxKhjjVBihU8EU57+N0KkQp1JAJpNF+tCjBjtaSydQhRuhU0Gp4N9XRBT9GIoiqPjDEzj0jTWs16gUsmBI6gxLXUJUXGiICm6nU0GjHH6rmLOjtXTYNElEsYahKILO25wAgP+cMxkGrRIt7W60tLnQ0u5Gc7vbf7/djZY2/1ePT4DbK6C+1YX6VlfYP0+rkl+0EtVbuDLFRWclwOH2wu7yAmClSApN7MRORDGGoShCfD4hGGx+dG0yxpni+txeEAS0ubz+sNQWCEyuYHBqbusSorrcmtvcsDr8fT8cbh8cbifqrM6wj9egUfZSoVL1Hq46QpcpToV4rRJyeWSa+wIf2kq5DEYt3+pia2B/LSKKMfykiJDmdje8Hcu3j9JrLrq9TCaDXqOEXqPE+BF9B6jufD4BNqenS5hyo7lLoAp5vFu4anV6AACtTg9anR5809we1s+WyQCjtu9KVGegUgeb+kbEqaBTD6z/VGOX/kTshyU+LvFBRLGGoShC6lv91ZoROpXkq7fL5Z39kMLl8fpgdXjQ3KVZz9pLgGpu6/J4R+ByuH0QBAS3qWkM72crA8cdUoXq/N7YUYmK13b/qoRRq2KfF4k12jkcn4hiC0NRhAT6E402XLxKFElKhRwJenW/mkgcbm8wKPUIUSHhytWj2c/tFeDxCWiwu4LNNOEKtNqxeUcajXb/e5id2IkoVjAURUigUmQe4qFoILQqBbQqBRKN2rBeJwgC2t3ei1aibA5Px83/vbXjsVaXB4IAdLROIiPFJMHZUWMbK0VEFFsYiiIkWCmKj91Q1F8ymQw6tRI6tRJJYfafAvx9qFpd/sDk9viQNkonwVFS58SYnLiRiGIDQ1GEnG8NNJ/xr2yxyeUyGLUqGLX8sJZSsM/WJQwUICKKBtE3+UyMqLf5P1DMrBRRlGJHdiKKNawURUhnpYihiKJPu8uLdrd/YsyT9a1oc3tg0CgRr1HBoFVCEaG5qYiIBoKhKELqbbHf0ZpiV2D+KgC499X9PZ7XqRUwaJQwaJWI7/hq0PinTfB/VQafD9wPPBe4r9cooYrCmdSJKHoxFEVIcPQZm88oCo02qHHvrMtw4OtGtDr8E3vaHB44PT4AQJvLizaXF+ds4c+e3pVWJYdBo4JR2xmguoetHkEr+Lwq+Bqp5wIjotjAUBQBvo75dwA2n1F0kslkePKuaT0ed3l8sHcEJJvTHQxMgdBkc3jQ2vG4zem54PMOtz9cBZamCfwR0V8apbxHdapH2AqpaqmC23d93XBcVJloOGEoioCmNlfnEh8cfUYxRK2UQ61UD3juIre3M1y1OjvDUuB+1+pUMGh1PB4IWzaHJ9jvyenxwdnPhZRDzk8h76hOKUOa+gzdwtSFqlaBxzVKOZeeIRqCGIoiIPAf80idin0miHqhUsgxQqfGiAGObPN4fbA7vf6qVZfQZHMEglXPqpUteL/zNXaXP1y5vD402l3BkXf9Pz9ZaJAKhKvuVSuNEobA8jWa7s+roFUxXBGJiaEoAqJliQ+iaKdUyGHSyWHSDWzOKq9PgN0VGqa6Vq1sIcHK3aW61fU1nmAHdbdXQFObG01tbgDhLbIccn5yWUhfq86qVWc/q9CO7v4Q5r+vgE7t79CuVyug5B9oROGFouLiYhQXF+PUqVMAgGnTpuHxxx9HXl4eAKCurg6PPPII3nvvPTQ3N+PGG2/Eiy++iEmTJl3S/ktKSjB//nzk5+fjL3/5S/DxJ598EqtWrQrZdsyYMaitrQ3n8IcMdrImii4KkSYE9XWEq0CYsoY0B7p7DVLdq1Zdl7Lx+AQ0t/mXwRkojVIOg8YfkgKjB3Uaf3jSB8KTRtERovz3Q4JVx3b+1ynY/4qiUlihKDk5GWvWrMHEiRMBAJs2bUJ+fj4qKiqQnp6OgoICqFQq7NixA0ajEWvXrsWcOXNw5MgR6PX6Pvf99ddf4+GHH8bs2bN7fX7atGnYvXt38L5CEb2/cKwUEQ1PcrkM8VoV4rUqYABL8vl8Atrc3guGqd6qVt37Y7U6PbA7PfB09G90enxwevq/AHN3KoWsS4BShH4fDFL+KpVe0xmmum5n0PiX+zFolGwqpEERViiaN29eyP3Vq1ejuLgY5eXlUKlUKC8vx6FDhzBtmn9Uyvr165GYmIgtW7ZgyZIlF9yv1+vFPffcg1WrVmHPnj1obm7ueaBKJcaOHRvO4Q5Z9Zy4kYgGQC6XBZvMgPAWXO7O6fHC7vTC7vTA7vIHpc77/q+tTg/aXP7HA9+3BrbpeF1bx3OBaRncXvGqWAAgl+ECFStFMGAZNErcmTEOGckjRPmZNPz0u0+R1+vF1q1bYbfbkZOTA6fT/0Gv1Xb+gioUCqjVauzdu7fPUPTUU0/BbDZj8eLF2LNnT6/bVFdXIykpCRqNBtnZ2Xj22Wdx+eWX93mMTqczeFwAYLVawzlFyZxn8xkRDREapb+pK2GAIwYD3F4f2lxdA1NosAqEqTan//s2V2fVyt7L69o6Orn7BPg7yXeZOLQ3e6vrsXNZ7y0ORBcTdiiqqqpCTk4OHA4HDAYDtm/fjvT0dLjdbqSlpWH58uXYsGED9Ho91q5di9raWlgslgvu7+OPP8Yrr7yCysrKC26TnZ2NzZs3Y/Lkyairq8MzzzyDWbNm4fDhwxg1atQFX1dUVNSjL9JQ0Nl8xuH4RBRbVAo5THFymOLEWZA50FQYDEsh1Sr//TaXB0fOWvHnim/gEwRRfi4NT2GHoilTpqCyshLNzc3Ytm0bFi1ahA8//BDp6enYtm0bFi9ejISEBCgUCsyZMyfYCbs3NpsNP/nJT7Bx40aMHj36gtt13ceMGTOQk5ODK664Aps2bUJhYeEFX7d8+fKQ561WK1JSUsI8Y/EFhuSPZqWIiKhPoU2FF1Z6yII/V3xz0e2I+hL2u0etVgc7WmdlZWH//v1Yt24dNmzYgMzMTFRWVqKlpQUulwtmsxnZ2dnIysrqdV9ffvklTp06FdJXyefzt0crlUocO3YMV1xxRY/X6fV6zJgxA9XV1X0eq0ajgUYz9IJHcPQZ+xQREYnC5vA3qxm0DEXUfwN+9wiCENJvBwBMJv+wiurqahw4cABPP/10r6+dOnUqqqqqQh775S9/CZvNhnXr1l2wquN0OnH06NELjlQbyrw+AQ3sU0REJKrAHFCsFNFAhPXuWbFiBfLy8pCSkgKbzYaSkhKUlZWhtLQUALB161aYzWakpqaiqqoKy5YtQ0FBAXJzc4P7WLhwIcaPH4+ioiJotVpMnz495GeMGDECAEIef/jhhzFv3jykpqbi3LlzeOaZZ2C1WrFo0aL+nnfENLW54BMAmQyidWwkIhruWjsqRfGsFNEAhPXuqaurw4IFC2CxWGAymZCRkYHS0lLMnTsXAGCxWFBYWIi6ujqMGzcOCxcuxMqVK0P2UVNTA7k8vJlTz5w5g/nz56O+vh5msxnXX389ysvLkZaWFtZ+hoJA09lInZpLfBARiYSVIhJDWO+eV155pc/nH3zwQTz44IN9blNWVtbn86+99lqPx0pKSi52aFGDI8+IiMRnC4YicUa90fDEUsUg4xIfRETia2VHaxIBQ9Eg4xIfRETiCzSfxbP5jAaAoWiQBecoYigiIhINK0UkBoaiQVZvY/MZEZHYbOxoTSJgKBpk57kYLBGR6Fqd/oVnWSmigWAoGmTnWSkiIhJdcJ4iVopoABiKBllnnyIOySciEoMgCJ3zFLFSRAPAUDSIvD4BjXaue0ZEJCanxwe3VwDAPkU0MAxFg6jRziU+iIjEFqgSAYBezVBE/cdQNIgCEzcm6NRQcokPIiJRBPoT6dUKyOWyCB8NRTN+Mg8iTtxIRCQ+9icisTAUDSIu8UFEJD4uBktiYSgaRFwMlohIfJ2zWXMxWBoYhqJBxEoREZH4uO4ZiYWhaBBx3TMiIvFxiQ8SC0PRIGJHayIi8XExWBILQ9EgYvMZEZH4guuesVJEA8RQNIjquRgsEZHoguuesVJEA8RQNEg8Xh8a7B19iuI5+oyISCzsU0RiYSgaJI1tLggCIJcBo/SsFBERiYV9ikgsDEWDpN7mrxIl6NVQcBp6IiLRcPJGEgtD0SA5z/5ERESSCM5TxEoRDRBD0SCpt3HkGRGRFILNZxrOaE0Dw1A0SFgpIiKSBjtak1gYigYJK0VERNLgkHwSC0PRIOmco4jD8YmIxOLx+tDu9gJgpYgGjqFokLD5jIhIfHanN/i9nqGIBoihaJAEhuSz+YyISDy2jiU+1Eo51Ep+pNHA8B00SLjEBxGR+ILD8VklIhEwFA0Cj9eHxjZWioiIxGZ3cjZrEg9D0SBotHcu8TFSx47WRERisTk4HJ/Ew1A0CAKdrBP0Gi7xQUQkIi7xQWJiKBoE5zlHERGRJDhHEYkprFBUXFyMjIwMGI1GGI1G5OTk4J133gk+X1dXh3vvvRdJSUnQ6XS4/fbbUV1dfcn7LykpgUwmQ0FBQY/n1q9fjwkTJkCr1SIzMxN79uwJ59Ajqr7V35+IcxQREYmLlSISU1ihKDk5GWvWrMGBAwdw4MAB3HLLLcjPz8fhw4chCAIKCgpw8uRJ7NixAxUVFUhLS8OcOXNgt9svuu+vv/4aDz/8MGbPnt3jubfeegsPPfQQHnvsMVRUVGD27NnIy8tDTU1NOIcfMcFKEUeeERGJKtiniJUiEkFYoWjevHn4zne+g8mTJ2Py5MlYvXo1DAYDysvLUV1djfLychQXF+Paa6/FlClTsH79erS2tmLLli197tfr9eKee+7BqlWrcPnll/d4fu3atVi8eDGWLFmCK6+8Er/97W+RkpKC4uLi8M42QgLD8dl8RkQkrs5KEReDpYHrd58ir9eLkpIS2O125OTkwOn0f/BrtdrgNgqFAmq1Gnv37u1zX0899RTMZjMWL17c4zmXy4WDBw8iNzc35PHc3Fzs27evz/06nU5YrdaQWyRwjiIiImmwTxGJKexQVFVVBYPBAI1Gg6VLl2L79u1IT0/H1KlTkZaWhuXLl6OpqQkulwtr1qxBbW0tLBbLBff38ccf45VXXsHGjRt7fb6+vh5erxdjxowJeXzMmDGora3t81iLiopgMpmCt5SUlHBPVxTsaE1EJA32KSIxhR2KpkyZgsrKSpSXl+P+++/HokWLcOTIEahUKmzbtg3Hjx9HQkICdDodysrKkJeXB4VC0eu+bDYbfvKTn2Djxo0YPXp0nz9XJgsdyi4IQo/Hulu+fDlaWlqCt9OnT4d3siJhpYiISBo2hiISUdjvIrVajYkTJwIAsrKysH//fqxbtw4bNmxAZmYmKisr0dLSApfLBbPZjOzsbGRlZfW6ry+//BKnTp3CvHnzgo/5fD7/gSmVOHbsGFJSUqBQKHpUhc6dO9ejetSdRqOBRhP5IBIcfRbP0WdERGJqdfjXPmNHaxLDgOcpEgQh2J8owGQywWw2o7q6GgcOHEB+fn6vr506dSqqqqpQWVkZvN111124+eabUVlZiZSUFKjVamRmZmLXrl0hr921axdmzZo10MOXnNvrQ6O9Y4kPVoqIiETFtc9ITGG9i1asWIG8vDykpKTAZrOhpKQEZWVlKC0tBQBs3boVZrMZqampqKqqwrJly1BQUBDSSXrhwoUYP348ioqKoNVqMX369JCfMWLECAAIebywsBALFixAVlYWcnJy8PLLL6OmpgZLly7t73kPmkAgUshlXOKDiEhkrRySTyIK611UV1eHBQsWwGKxwGQyISMjA6WlpZg7dy4AwGKxoLCwEHV1dRg3bhwWLlyIlStXhuyjpqYGcnl4Baq7774bDQ0NeOqpp2CxWDB9+nTs3LkTaWlpYe0nEgKdrBP0asi5xAcRkajYp4jEJBMEQYj0QQwWq9UKk8mElpYWGI3GQfmZHxw7h5++uh/p44zYuaznxJRERNQ/giDg8hU7IQjAp4/disR47cVfRFFpsD6/ufaZxOo7KkWjORyfiEhUbS4vAn/Wx3PyRhIBQ5HEzrdyiQ8iIikEOlnLZYBWxY8zGji+iyRWb+NwfCIiKQTXPdMoLzpvHdGlYCiSWD0rRUREkrAHhuNr2XRG4mAokhiX+CAikgaX+CCxMRRJjEt8EBFJw8Y5ikhkDEUSYygiIpIGK0UkNoYiCbm9PjS1+dflGW1gR2siIjFx3TMSG0ORhJo6lviQy8AlPoiIRMZ1z0hsDEUSqm/1h6IEvYZLfBARiYxLfJDYGIok1NmfiFUiIiKxcTFYEhtDkYQa7P5QNIqhiIhIdOxoTWJjKJJQQ0fzGUeeERGJL1ApimeliETCUCShQJ+iUXqGIiIisXX2KeKM1iQOhiIJNbSy+YyISCrsU0RiYyiSUIM90HzGUEREJDb2KSKxMRRJKFgpYvMZEZHogvMUsVJEImEoklCwTxErRUREogs2n7FSRCJhKJKIIAhc94yISCJOjxcurw8A+xSReBiKJGJ3eeH0+H9hWSkiIhJXoEoEAHo1QxGJg6FIIoH+RDq1Ajr+whIRiSrQn0inVkDBZZRIJAxFEmF/IiIi6XDkGUmBoUgiHHlGRCQdzlFEUmAokgjnKCIikk5wOD4rRSQihiKJsFJERCSdYPMZK0UkIoYiibBPERGRdGyco4gkwFAkkfrgumesFBERia2Vi8GSBBiKJNLQyj5FRERSCXS05hIfJCaGIok02DmbNRGRVDgkn6TAUCSRBvYpIiKSjI1D8kkCDEUS8PoENLZ1hCKOPiMiEl2r0w2AlSISF0ORBJraXBAEQCYDRurYCZCISGzBeYpYKSIRMRRJINB0NlKnhlLBS0xEJLZWDsknCfATWwLB4fh69iciIpKCjR2tSQJhhaLi4mJkZGTAaDTCaDQiJycH77zzTvD5uro63HvvvUhKSoJOp8Ptt9+O6urqPvf55z//GVlZWRgxYgT0ej1mzpyJ119/PWSbJ598EjKZLOQ2duzYcA59UHXOUcRQREQkBa59RlII692UnJyMNWvWYOLEiQCATZs2IT8/HxUVFUhPT0dBQQFUKhV27NgBo9GItWvXYs6cOThy5Aj0en2v+0xISMBjjz2GqVOnQq1W4+9//zt++tOfIjExEbfddltwu2nTpmH37t3B+wqFoj/nOyg6R56xkzURkRQ61z5jv00ST1ihaN68eSH3V69ejeLiYpSXl0OlUqG8vByHDh3CtGnTAADr169HYmIitmzZgiVLlvS6z5tuuink/rJly7Bp0ybs3bs3JBQplcohXR3qKjBHkZmhiIhIdF6fgDaXFwArRSSufvcp8nq9KCkpgd1uR05ODpxOfxDQarXBbRQKBdRqNfbu3XtJ+xQEAf/4xz9w7Ngx3HjjjSHPVVdXIykpCRMmTMCPf/xjnDx58qL7czqdsFqtIbfBEKwUsU8REZHoAlUiANBrhm6rAUWfsENRVVUVDAYDNBoNli5diu3btyM9PR1Tp05FWloali9fjqamJrhcLqxZswa1tbWwWCx97rOlpQUGgwFqtRp33HEHXnzxRcydOzf4fHZ2NjZv3ox3330XGzduRG1tLWbNmoWGhoY+91tUVASTyRS8paSkhHu6/VLP5jMiIskEQpFaIYdGyVBE4gk7FE2ZMgWVlZUoLy/H/fffj0WLFuHIkSNQqVTYtm0bjh8/joSEBOh0OpSVlSEvL++i/X/i4+NRWVmJ/fv3Y/Xq1SgsLERZWVnw+by8PHz/+9/HjBkzMGfOHLz99tsA/H2a+rJ8+XK0tLQEb6dPnw73dPsl0HzGjtZEROKzO9nJmqQR9jtKrVYHO1pnZWVh//79WLduHTZs2IDMzExUVlaipaUFLpcLZrMZ2dnZyMrK6nOfcrk8uM+ZM2fi6NGjKCoq6tHfKECv12PGjBkXHdmm0Wig0Qx+tSYw+oyLwRIRic/GOYpIIgOep0gQhGB/ogCTyQSz2Yzq6mocOHAA+fn5A95nV06nE0ePHsW4ceP6dcxS6+xTxOYzkpbgE3o85nO50P6vf8H2/vto3fsx3BdpviaKNlwMlqQS1jtqxYoVyMvLQ0pKCmw2G0pKSlBWVobS0lIAwNatW2E2m5GamoqqqiosW7YMBQUFyM3NDe5j4cKFGD9+PIqKigD4+/1kZWXhiiuugMvlws6dO7F582YUFxcHX/Pwww9j3rx5SE1Nxblz5/DMM8/AarVi0aJFYlwDUbW5PMFREWw+I7F5PT5U76/D8f11OHfKCmebB0q1HKPGG5A6QY3Eim1wvPt3CG1tIa/TTJmChEWLYCrIh0zOOVspunGOIpJKWO+ouro6LFiwABaLBSaTCRkZGSgtLQ12irZYLCgsLERdXR3GjRuHhQsXYuXKlSH7qKmpgbzLf8p2ux0PPPAAzpw5g7i4OEydOhVvvPEG7r777uA2Z86cwfz581FfXw+z2Yzrr78e5eXlSEtLG8i5SyJQJdIo5fwrhkRV95UVu187gua60MDjcflQ95UVdV8BSncWJhtOYrz2JFTJyRDa2+A8+RWcx47BsmIFWv7yF4z/7f9AmZAQobMgGrjAYrDx/D+WRCYTBKFn/T1GWa1WmEwmtLS0wGg0SvIzKk83o+CljzF+RBw+fvQWSX4GDT+nqupRuuEQvB4f4oxqZNycjLTpo6DTKtDwh91o+uwM2o2XoU2pQ7NXQGpuKrLmXQEA8La0oHnrVpxfXwyhrQ3qK65A2huvQzlyZITPiqh/fr/nJJ55+yjyZyZh3Y+vjvTh0CAYjM9voB8dralvDVzig0T2caUFL22uQq3GC4xSIi1VhWaZA9/+5xmM+bwecu9IjEoKDTjuvd/gZKMDE+65EgqTCaOWLIHhlltQc99iuL78EmcfeQQpGzZAJpNF6KyI+o99ikgqfEeJjBM3klhON7bh8R2H8MGx80Dg7eR04NTpr7D33FkUK9oxxaDH4kYTsmQmGOfeBF+rGy2V56FyeoGjjahbXwnzfdOhMKihufxypGzYgFM//CHsH+2B7d33YLz9tj6PgWgoYp8ikgrfUSKrD85RxJFn1H8Hv27C4k370dzmhkwARscpMeLKL9Do+htcvrrgdl8DeDwJGKsdj19cnoB5l8+D8c7LUbb6U0xocwNn7ah/5RDMS6+CXKOAdspkjFqyGPXri9GwcSNDEUWlznXP+BFG4uIwFJHV2wKzWbNSRP1z8nwr7n31UzS3uaE2qOC8IR7WK19HreP3cPnq4JNp4dLOgEp2DeTWyyD41Kh1fIPH9j6Gf9v6bzh04hBS503AnlYPnALgttjR8nbnsjgjFywAVCo4Dh+G86uvInimRP1jY/MZSYTvKJEFZrMezTmKqB98PgH/+VYlbA4PphjP4kcJZXi37nMcVcug8flwX4sHEzEBG9Juw8eJVwFjvBi570t4DfuhGb0Lh9oP4aEPH0KuNRea+BR8ak/CbIMK9v21MMxKgmqsHsqRI6G7+mq0ffop2vbvh2bChEifNlFYOpvPVBE+Eoo1rBSJLNiniJUi6ocdn32NL86cx9Pq/8O7rodx3vUxjqpliPf6sMlyDg801yK3+UNs+/xB7Dj0c4yUtaL52svhaboR9q9/DpWgQX1cPfZr98MadwIn4z+HPVENCEDrvrOdP6hjWoyW7X+JzIkSDQA7WpNU+I4SWecSH6wU0aXzejw4+PZf8MLeJrwR9zKulR9HtUqFN40GAMDdSgEN1xhwsM2DMXVunPjUht9s+QxNlltQZ/Nh1M+egmHkNRjvKsBXihLseXcPPjqwB9amFvxKE4e5adfjMe+/Y0TBRMjkMrT/618AgPaKikieNlG/BCpF8exoTSLjO0pkDXZWiig87a027Hj+aXx5vBqPTrTiWvlx2OR6rE28CoLsDKYpgenjnPC69ag+n4m3zyfDrjiO6Ql/x09nyvD9P7ZDNtL/q/zFqWm4boIcO75ux/S51+JaYwbaXXZ8VPoB7n3jv3HwkblQjY6DymyG6+uvI3zmRP3DShFJhc1nIvL5BDR2hCJWiuhSuF1O/LnoCXzzxRGMHS/HbYoDcEKJcz/egkpdCwDglpEOKH2joNz/C3xhmQCfR4GMGc34qW887rrc/z77jv1jCEoZ3D41Jo3UY8J/TYDvZjsuU92A5ORk3HT7raiqPYbjuyoB+Jf9AIDE//qviJw30UBY2/0zWnNIPomNoUhELe1ueDsW6BypY6WILm7vls2oPXEcWoMBd4z6AgDwe80P4Rk9Fq0eG7QyAWlKOTznl+CI0wEAUDfWofILAZ+NVKPuM//Mrt9p2AeDx7/8x9d134IaAtqV7WiXe5A6bjwcLgdkkEHv0kBwu9H2yScAgLirMiJw1kT953B7g6PPOKCFxMZQJKJAfyJTnApqJS8t9a3J8g0qSv8GAPju/FyMdZ6BVYjD343fxxnbGQDAGJUPzdVzceiICxZ5EwBA3lKHsY1anLoiEdav4wAAGp8DeYpPAQDtXjNc8M9UfWbUPlxjfw+7d+/GzBlXwTxtPKzvvgdvSwsUo0cjbubMQT5rooEJdFFQKWQwxrFSROLiJ7eI6jnyjMJQ+e7bEHw+TLg6C0mybwAA//BdA7tLjeY2fyjSyICm6luhbjUDMmCET4tvja4HAFyWkAXExwf3d6Pc33k6L71zsdeW+M+x8uW/QxAE3HbH7XCO8OD8//wPAGDkv82HTMkPFYou9baOCXL1Gi5TQ6JjKBIR5yiiSyUIAqo//ScA4Kq53wHOHQEAfOabhLP1djg7QpHVK0NtXDPs8PehMAnxSJ/7/wAA31Qfg+nnPw/u8zq5v/nN+5V/7hbBI+DwltM41aTCggULoNFocPCl38D9zTdQJo3DqEWLBudkiUQUHOEbzz8+SXwMRSLiHEV0qexNjbA1nIdMLkfq9AzAfh4AUKsaDY9XwOdf+5vKGrwy5N93HRQqfx8KJRRwWSZiVHIqIAhonzkjuM+xsib4DErYP0uE2utDzfoatDUBJfNXQ6fT+ff3zTeQaTQY/5vfQK7XD/JZEw1c4P9ZDmYhKTAUiaiBcxTRJbLWnwMAxI8aDZVGC3T0AcIIf3PWB0cnQisT4BZkgMmFq5KOAQCccMNT3QzUyfBNUwv+uOFlAMBXTT5U1nqhdzfjG92XqP7daThPteO5H8yB05OC1tZWtLa2wtTaiuT1L0F39dWDfcpEojjP/2dJQuxQIKJ6zlFEl8jj6ugsqtH6HzAkAgDGmGyQ1ctwzpaCKd5EnJWfx5tH38QDwmF8hOtQL2+FAAEaz+X4n13rAewFABS+5wTgxOWZr+DYDedhq7ABAL7/7CsAXgn+3JvfeAOGG24YrNMkEh0nyCUpMRSJKFApGsVfVroIjc7fdOVo9YcXjM0Avvg7ZrUdxquT74DqSDOqT82H/vIXUHqqFPkyLxS4Bg4ZUG/2Yjauw1f//QHWuc9jim4Hlir/hj8a5+D8twvwv4eew4zXpuGRRA9u/Oh/cUJeiQ9VzRiD87jjnnsieNZEA1cfbD7jH58kPjafiSjY1q3nLyv1zTRmLADA3tyEtpZmYNJcAMCcxnLEj/FASAF8ziS4mrIBAA8bVYhXHQUAHE9pxN/dNVgmc+BvajXuVPg7bH+RMBV/+NdLAIBvGTyY0HYZDLNS8IXJ3z9pOo4N5ikSSSIw+swczz8+SXwMRSKqZ6WILpFWb4A5zb86/YkDnwBJVwNjZ0DtdeDh06/BeWUSEqa0w3PuNnjbk2FX+PD7pFN4K86BRysUWKMagc/hxT3KD2CW1+PlEYnYIZTCJrdjgkKBu0a44Um8GkdH1aGuTQYNnMicPD7CZ000cGw+IykxFImIo88oHFNv+DYA4LOdO+ATfMCtTwAA7juzHbc27MHZyyZCN0uHNO8cyNomQCZ3QTn2begnPQtd8iYkTdiM8+N34uaUZLw4UguX3IWZ+hT8bKwNHgGwyq7Grl27AABzsQe65BkXPBaiaMFQRFJinyKRcOp5ClfGrbfj0x1b0XCmBvv/+mdkF/wQuGYh5J9txv8deRyPTi7EljHzcD59PAy+azGudjusnk/gU9igiD8KG4A98L/XxurG4p4rbkFy8ybIAOw/cwUcJ/1zH12Nw8hEFTD5fyN3skQicHt9aGrzz9m1o/IbjDJooFXJEadSQKtSQKuSQ6tUQKNSdDwm73jcf1+jlEMu54SPdGEMRSJp5NTzFCatwYBvL1iM9/73Bewt2QzDyARM+85v0NpSA8OXZfifY7/Bsob38HLCzThomAZvfA5m2cfi6sZSGBzH0SqXwyPE46T7W8i8zA1z0/9BJvOh/nwqHCdzAACzEtsw59wuyFKygbHTI3zGRAPj9voglwE+AVhf9mW/9rHkWxPwyzvTRT4yihX89BZJsOmMU89TGKbfNBd1X1bj813voHT9/6CmqhLZ330Rr9vvxI/qvsZl9VV4tr6qx+sEALWp0/HpiHhcrt8LlcrfpHD+fBqOfXED4hJ1+PGU0UjbU+h/wZxVg3hWRNLQqZX47Y+vxoFTjWh3eeHw+OBwe+Fwe+F0+9De8b3D44XD3fmc2ysE9/GPL84xFNEFMRSJpN4e6GTN/kR06WQyGW69735oDfH45C9bcWTPBziy5wMoE6bhOfkIzNI0YoqyBSPU7VCofHDpZWgaqcLZMVq062phQC0AQKEw4xtHFl5tPArPhI/w19TbYfzwYf8P+dZ/Amk5ETxLIvHcdVUS7roqKazXeH0Cdh2pxdI3PoNWpZDoyCgWMBSJpLOTNfsTUXhkcjm+9eOFuCIzG//ctgWnKj+Dp9EGHYyohBGVAMyXX4Gcu+5G6rTLoHnvXiTWV8GrkEGjNsM49lYc1STjN19vhlvnxaN2GYxla/w7z/wpcMvjkTw9oohTyGXBCn6ciuOL6MIYikQSHBHBOYqon8ZNmoLvPfok2lttOH/qJL6uO4H/qXoB38S1YMwYOaalaaDRJ2Fc/jvAP18CPvwVHO6v8frZrVg/0gSPTIa59jb827l6QDfK32R29U8ANucSweH2AgDi1KwU0YUxFImkczZrhiIamDhDPFKnX4XU6Vdh1Mwr8Yt//AJftXyFe0vvxeSRkzHTPBN6rR5ns7+Pf57dB6vP/97L82rwjDkLspxbgfQCQGOI7IkQDSHtro5QxOYz6gNDkUjYfEZSSB+Vjm13bcMLFS/gLyf+guNNx3G86XjINuMN4/HvM/8dd15+Jzv5E11Ae0eliH2KqC8MRSIJLgbL5jMS2QjtCDye8zgevPpB7Du7DyeaT8DhdWCUdhSuMl+FqxOvhkLO/+iJ+hIIRawUUV8YikQSaD4bzfV4SCIjtCPwncu/E+nDIIpKDhf7FNHFsRu+SDoXg2UoIiIaalgpokvBUCQCQRDQwHmKiIiGLPYpokvBUCQCq8MTnDE1gX2KiIiGnHaXDwCbz6hvDEUiCMxRFK9R8q8QIqIhyOFh8xldXFihqLi4GBkZGTAajTAajcjJycE777wTfL6urg733nsvkpKSoNPpcPvtt6O6urrPff75z39GVlYWRowYAb1ej5kzZ+L111/vsd369esxYcIEaLVaZGZmYs+ePeEcuqQ6h+OzSkRENBQFOlpv+ucp3PfafvzHm5/hv//0OZ7862E8/+4XeOmDE3j146/wx/2n8bfPz+L9L+pQfrIB/zrTjBPnWuHx+iJ8BjQYwhp9lpycjDVr1mDixIkAgE2bNiE/Px8VFRVIT09HQUEBVCoVduzYAaPRiLVr12LOnDk4cuQI9Hp9r/tMSEjAY489hqlTp0KtVuPvf/87fvrTnyIxMRG33XYbAOCtt97CQw89hPXr1+OGG27Ahg0bkJeXhyNHjiA1NXWAl2DgOiduZCdrIqKhaHTH/88nz9tx8rw97Ndfd1kC/riUawjGOpkgCMLFN7uwhIQEPP/885g9ezamTJmCQ4cOYdq0aQAAr9eLxMRE/OpXv8KSJUsueZ/XXHMN7rjjDjz99NMAgOzsbFxzzTUoLi4ObnPllVeioKAARUVFl7xfq9UKk8mElpYWGI3GS37dxbxe/jVW/uUQctPH4OWFWaLtl4iIxOFwe1F+sgE2hwdtLg/aXF60ubywOwPfe2B3edHe7bGWdg/qW50wapX415O3Rfo0hi2pPr+76/c8RV6vF1u3boXdbkdOTg6cTn+1RKvVBrdRKBRQq9XYu3fvJYUiQRDw/vvv49ixY/jVr34FAHC5XDh48CAeffTRkG1zc3Oxb9++PvfndDqDxwX4L6oUOEcREdHQplUpcNOUxLBf9/npZuS/9DHitSoJjoqGmrBDUVVVFXJycuBwOGAwGLB9+3akp6fD7XYjLS0Ny5cvx4YNG6DX67F27VrU1tbCYrH0uc+WlhaMHz8eTqcTCoUC69evx9y5cwEA9fX18Hq9GDNmTMhrxowZg9ra2j73W1RUhFWrVoV7imHrnKOIfYqIiGKJ3ekBAOg17KA9HIQ9+mzKlCmorKxEeXk57r//fixatAhHjhyBSqXCtm3bcPz4cSQkJECn06GsrAx5eXlQKPp+M8XHx6OyshL79+/H6tWrUVhYiLKyspBtuq/pJAjCRdd5Wr58OVpaWoK306dPh3u6l6RzjiJWioiIYklrMBRxAYjhIOx/ZbVaHexonZWVhf3792PdunXYsGEDMjMzUVlZiZaWFrhcLpjNZmRnZyMrq+9+NnK5PLjPmTNn4ujRoygqKsJNN92E0aNHQ6FQ9KgKnTt3rkf1qDuNRgONRvqgUm/j6DMiolgUCEUGhqJhYcD/yoIghPTbAQCTyQQAqK6uxoEDB4IdpvuzT7VajczMTOzatQvf/e53g9vs2rUL+fn5Azx6cdR3VIrWf/Al/vb5WRi1KhjjVB1flcH78Vpl52NxKhjUSsjlXNWciGiosjMUDSth/SuvWLECeXl5SElJgc1mQ0lJCcrKylBaWgoA2Lp1K8xmM1JTU1FVVYVly5ahoKAAubm5wX0sXLgQ48ePD44aKyoqQlZWFq644gq4XC7s3LkTmzdvDhlpVlhYiAULFiArKws5OTl4+eWXUVNTg6VLl4pxDQYsQafGSdhxxGLFEculd+aWyfwTPvYWoAL347UqGLW9bxOvYagiIpJSq9M/vxGbz4aHsP6V6+rqsGDBAlgsFphMJmRkZKC0tDTYKdpisaCwsBB1dXUYN24cFi5ciJUrV4bso6amBnJ5Z1cmu92OBx54AGfOnEFcXBymTp2KN954A3fffXdwm7vvvhsNDQ146qmnYLFYMH36dOzcuRNpaWkDOXfRvHbfddh/qhE2hwfWdjesDjes7Z6Or25Yuz/e7obL64Mg+JcIsTo8ANrD/rkyGfCtiaOx+b7rLtq/ioiIwtfqdANgpWi4GPA8RdFksOY5uBQOt7dHeLI5PBcJVJ33nZ7O2VWPPHUbdGr+whIRie3Jvx7Ga/tO4T9unoiHb5sS6cMZtob8PEU0MFqVAlqVAonx/Xv9yfOtuOU3H0KjlHMtHyIiiXD02fDCBWGjlM3h/0UdpVez6YyISCKdHa35x+dwwFAUpRrt/mkAEjgNABGRZFgpGl4YiqJUQyAU6TlhJBGRVDhP0fDCUBSlGgOzaHNpESIiyXCeouGFoShKdVaKGIqIiKRi5zxFwwpDUZRqbGUoIiKSms3RMU+RlqFoOGAoilKBjtZsPiMikoYgCLC7/JUiNp8NDwxFUSrQfDaSoYiISBJOjw9en39+YzafDQ8MRVGKlSIiImkF5oMDAB0nyR0WGIqiVCM7WhMRSarryDMuvj08MBRFIafHG5w7YxTnKSIikkTnxI2sEg0XDEVRKFAlUsplMMaxnZuISAp2zmY97DAURaGG1s5O1lz3jIhIGoFKUTxD0bDBUBSF2MmaiEh6XPds+GEoikLsZE1EJD3OZj388F86CnGJDyIi6bU6/bNZf/Z1Exa88gk0SgW0Kjm0qo6vSkXn9yoFNCoFtMrA8122VXbdxv81TqWASsG6xFDDUBSFuBgsEZH0AqN7G+wu7KmuF33/CrksJERpgkGrW7BSdgSuXkJWMGx1e11ct+01Kjk0Sjn7oV4EQ1EU6mw+43B8IiKpfO+a8UgdpUO9zQmHxwuH2weHu8tXjxfO4GMdj3u8Ids4PT60u7whjwd4ff5lRAJLiUhNJgM0yt6qV10rXBd4vpfKWFyXyldg+6QRcdBG8USXDEVRKDD6LMHAShERkVRkMhmuvSxB1H0KggCnx+cPU90ClD9odX7f+zadjzndPrQHA1nnc85u+wssVSII6NiPD4Bb1PMKSB4Zh7KHb4IySpsGGYqiEEefERFFJ5lMFmziMkE1KD/T7fV1q171XvXqGs6cHeGss8rVub2ze1DzeNHu8qG+1YkzTe1od3sRz1BEg4Wjz4iI6FKpFHKoFHLEa6X7GedsDly3+h+QywC9OnqjRXRGuWGugZUiIiIaQqztHRNdalVRvU4cQ1GUcXt9aGn3twWPZCgiIqIhwOrwfy7Fa6O3SgQwFEWdpjZ/lUgmA0bqGIqIiCjyrB1/rBu1g9NPSioMRVEm0J9oRJwKiiguURIRUeywOfzNZ9G+SDlDUZRpbGUnayIiGloCzWesFNGg6uxkzYkbiYhoaAh0tDbGMRTRIOJwfCIiGmpYKaKICC4Gy9msiYhoiAh2tGafIhpMTZyjiIiIhhhroKM1K0U0mGwxUqIkIqLY0Vkpiu7PJoaiKBNYTVmvie4SJRERxY7OPkXR/dkUVigqLi5GRkYGjEYjjEYjcnJy8M477wSfr6urw7333oukpCTodDrcfvvtqK6u7nOfGzduxOzZszFy5EiMHDkSc+bMwaeffhqyzZNPPgmZTBZyGzt2bDiHHjPaXP4SpV6jiPCREBER+QUqRfFR3ooRVihKTk7GmjVrcODAARw4cAC33HIL8vPzcfjwYQiCgIKCApw8eRI7duxARUUF0tLSMGfOHNjt9gvus6ysDPPnz8cHH3yAf/7zn0hNTUVubi6++eabkO2mTZsGi8USvFVVVfXvjKNcQ8c8RaYoL1ESEVHssMbI5I1hHf28efNC7q9evRrFxcUoLy+HSqVCeXk5Dh06hGnTpgEA1q9fj8TERGzZsgVLlizpdZ9/+MMfQu5v3LgRf/rTn/CPf/wDCxcu7DxQpXLYVoe6qu8IRaMNnKeIiIiGhmG/zIfX60VJSQnsdjtycnLgdDoBAFqtNriNQqGAWq3G3r17L3m/bW1tcLvdSEhICHm8uroaSUlJmDBhAn784x/j5MmTF92X0+mE1WoNuUUzn08Irn3GUEREREOB0+OF0+MDMAw7WldVVcFgMECj0WDp0qXYvn070tPTMXXqVKSlpWH58uVoamqCy+XCmjVrUFtbC4vFcsn7f/TRRzF+/HjMmTMn+Fh2djY2b96Md999Fxs3bkRtbS1mzZqFhoaGPvdVVFQEk8kUvKWkpIR7ukNKS7sbXp8AABipj+43HhERxYbAumcyGRAf5YOAwg5FU6ZMQWVlJcrLy3H//fdj0aJFOHLkCFQqFbZt24bjx48jISEBOp0OZWVlyMvLg0JxaZ2Cn3vuOWzZsgV//vOfQypOeXl5+P73v48ZM2Zgzpw5ePvttwEAmzZt6nN/y5cvR0tLS/B2+vTpcE93SAlM3BivVUKjZEdrIiKKvEDTmUGjhDzKFyoPO9Kp1WpMnDgRAJCVlYX9+/dj3bp12LBhAzIzM1FZWYmWlha4XC6YzWZkZ2cjKyvrovv99a9/jWeffRa7d+9GRkZGn9vq9XrMmDHjoiPbNBoNNJrYaWZq5MSNREQ0xMTKxI2ACPMUCYIQ7E8UYDKZYDabUV1djQMHDiA/P7/PfTz//PN4+umnUVpaekkByul04ujRoxg3btyAjj3aNLT6r/Mo9iciIqIhIlYmbgTCrBStWLECeXl5SElJgc1mQ0lJCcrKylBaWgoA2Lp1K8xmM1JTU1FVVYVly5ahoKAAubm5wX0sXLgQ48ePR1FREQB/k9nKlSvx5ptv4rLLLkNtbS0AwGAwwGAwAAAefvhhzJs3D6mpqTh37hyeeeYZWK1WLFq0SJSLEC0auBgsERENMbEycSMQZiiqq6vDggULYLFYYDKZkJGRgdLSUsydOxcAYLFYUFhYiLq6OowbNw4LFy7EypUrQ/ZRU1MDubyzQLV+/Xq4XC784Ac/CNnuiSeewJNPPgkAOHPmDObPn4/6+nqYzWZcf/31KC8vR1paWn/OOWo1BIfjMxQREdHQYG0PzFE0zCpFr7zySp/PP/jgg3jwwQf73KasrCzk/qlTpy76c0tKSi66zXDQaPc3n7FSREREQ0WgUhQfA5Uirn0WReqDHa3Zp4iIiIaGWJm4EWAoiiqNHc1no9h8RkREQ0SwT1EMNJ8xFEWRBjafERHREBPsU8TmMxpMjWw+IyKiIcbGShENNp9P6AxFbD4jIqIhgpM30qBrbnejY9kzjNQxFBER0dDQOXkjm89okASG4xu1SqiV/GcjIqKhoXPyRlaKaJDUByduZH8iIiIaOgIdrU3sU0SDpZFLfBAR0RDj8vjQ7vYCYKWIBlHnYrAMRURENDQERp4BgIFD8mmwdC4Gy+YzIiIaGgIjzwwaJRRyWYSPZuAYiqIEF4MlIqKhpnOJj+ivEgEMRVGDfYqIiGioiaUlPgCGoqhRH+xTxOYzIiIaGjqX+GAookHUucQHK0VERDQ0dC7xweYzGkQNXOKDiIiGmFiauBFgKIoKXp+Apjb2KSIioqEl2HzGPkU0WJraXBA61j1L4LpnREQ0RHRWith8RoMk0J9ohE4FpYL/ZERENDR0LgbLShENksAcRexkTUREQ0lg8kb2KaJB02DvGI7P2ayJiGgICVSK4tl8RoOlkSPPiIhoCOLkjTTo6ls58oyIiIYeTt5Ig67RztmsiYhoaLE7PcHpYth8RoOGHa2JiGio+fV7x+D0+JA8Mg7JI+MifTiiYCiKApzNmoiIhpKKmia8tu8UAGD1d2fEzHQxsXEWMa6hYzFY9ikiIqJIc3l8eHRbFQQB+N7V4/HtyeZIH5JoGIqiQGD02Wj2KSIioggrLvsSx+psGKVXY+Wd6ZE+HFExFA1xHq8PTW3+IY+sFBERUSSdOGfDSx+cAAA8Pi8dI2Psc4mhaIgLBCKZDBjJdc+IiCiC1rxzDC6vDzdPMeOuq5IifTiiYyga4gJNZyN1aijksggfDRERDVef1TRh99E6yGXAY3ekQyaLvc8khqIhjp2siYhoKPjNe8cAAN+/JhkTEw0RPhppMBQNccHh+AxFREQUIfu+rMfHJxqgUsjw4K2TIn04komNKShjWKBSBABHzlphjFMiXqtCvEYJOZvTiIhoELz5SQ0A4EdZKUhJ0EX4aKQTVigqLi5GcXExTp06BQCYNm0aHn/8ceTl5QEA6urq8Mgjj+C9995Dc3MzbrzxRrz44ouYNOnCqXLjxo3YvHkzDh06BADIzMzEs88+i+uuuy5ku/Xr1+P555+HxWLBtGnT8Nvf/hazZ88O5/Cjks3hX1fmk68a8Z0X9gQfl8kAg1qJeK0SxjiV/6tWFXI/Xqvq8ZgxuJ0KWpU8JtuEiYhIPG6vD7uP1gHwh6JYFlYoSk5Oxpo1azBx4kQAwKZNm5Cfn4+Kigqkp6ejoKAAKpUKO3bsgNFoxNq1azFnzhwcOXIEer2+132WlZVh/vz5mDVrFrRaLZ577jnk5ubi8OHDGD9+PADgrbfewkMPPYT169fjhhtuwIYNG5CXl4cjR44gNTV1gJdgaLt9+lh8/GU9zlmdsDo8sDrccHl8EATA5vTA5vTgbIujX/tWKWT+qlPXQNVrsOr4Gtdzu1iZxZSIiHrn9QlwuH0AgMvNvX+WxwqZIAjCQHaQkJCA559/HrNnz8aUKVNw6NAhTJs2DQDg9XqRmJiIX/3qV1iyZMkl7c/r9WLkyJH43e9+h4ULFwIAsrOzcc0116C4uDi43ZVXXomCggIUFRVd8rFarVaYTCa0tLTAaDSGcZZDi8Pthc3hgc3hhq0jKNkcHljb3cHHAwHK2t5zO5vDDd+A/tU76dSKXsJT96DVvZrVGbz0agWrVUREQ1hzmwszn9oFADi86jboNYPf82awPr/7fWZerxdbt26F3W5HTk4OnE5/3xetVhvcRqFQQK1WY+/evZccitra2uB2u5GQkAAAcLlcOHjwIB599NGQ7XJzc7Fv374+9+V0OoPHBfgvaizQqhTQqhQwx/dvhmtBEGB3ebuFqM5gZXV4eglbocGqzeUFALS5vGhzeVFndV7kp/ZOLkMwJF2sKtU9bAW20ygV/frZRER0cV/U2gAAySPjIhKIBlPYZ1dVVYWcnBw4HA4YDAZs374d6enpcLvdSEtLw/Lly7Fhwwbo9XqsXbsWtbW1sFgsl7z/Rx99FOPHj8ecOXMAAPX19fB6vRgzZkzIdmPGjEFtbW2f+yoqKsKqVavCPcWYJ5PJYNAoYRjAm9vt9aG1S3i6UFUqGLycnc9bO4KY2yvAJwAt7W60tLsBtPfrWNRKOYzBQHWB8HTBKpYKBq2Sc0AREV3AsY5QNHVsfISPRHphfypOmTIFlZWVaG5uxrZt27Bo0SJ8+OGHSE9Px7Zt27B48WIkJCRAoVBgzpw5wU7Yl+K5557Dli1bUFZWFlJxAtCjiUUQhIs2uyxfvhyFhYXB+1arFSkpsd1JbLCoFHKM1Kv7PcW7IAhwenzBylTvTYDdH+u2ndPfCd3l8aG+1Yn61v5VqwAEA2Jrxz5vnGzGSF3PDuuB0GXs9riOzYBEFKMClaIpDEU9qdXqYEfrrKws7N+/H+vWrcOGDRuQmZmJyspKtLS0wOVywWw2Izs7G1lZWRfd769//Ws8++yz2L17NzIyMoKPjx49GgqFokdV6Ny5cz2qR91pNBpoNFxEdSiSyWTBZsDEfjYP+3wCWl2doamvqpS1y/Nd+1YFOg8GwlDAR8fPh3UsCrmsMzRpexn910e/qsDr2AxIREPRF7X+ridTxkZvX9xLNeDGQUEQQvrtAIDJZAIAVFdX48CBA3j66af73Mfzzz+PZ555Bu+++26PAKVWq5GZmYldu3bhu9/9bvDxXbt2IT8/f6CHT1FMLpd1NJup+r0Pl8cXDEnnbU6UHTuH8zYnrr0sobMq1UdToM3hgccnwOsT0NzmRnNb/5sBNUp5Z1NfRzUqpEIV0pcq9HE2AxKRFBrtLhy1+EPRlawUhVqxYgXy8vKQkpICm82GkpISlJWVobS0FACwdetWmM1mpKamoqqqCsuWLUNBQQFyc3OD+1i4cCHGjx8fHDX23HPPYeXKlXjzzTdx2WWXBStCBoMBBoN/GvHCwkIsWLAAWVlZyMnJwcsvv4yamhosXbpUlItAw5daKcdogwajDRpMGK3HdRMSwnq9IAho7zIasKVbhaq3UYE9Hu+oUjk9PjhFaAaM7x6mus1bZdAqYdAooFP7+5Xp1Ar/V40SBrUSOo0CKk61QEQAnvrbYTjcPlw5zhizS3t0FVYoqqurw4IFC2CxWGAymZCRkYHS0lLMnTsXAGCxWFBYWIi6ujqMGzcOCxcuxMqVK0P2UVNTA7m88z/c9evXw+Vy4Qc/+EHIdk888QSefPJJAMDdd9+NhoYGPPXUU7BYLJg+fTp27tyJtLS0/pwzkWhkMhl0aiV0aiXGGLUXf0EvvD4Brc6O0HSBKRTCaQZsdXpg6efcVQFqpRx6dZfgpFEEA5Re4w9dI3QqjNSpMUKngilOhRE6NUbp1TDHa6BWyDnjOlGU232kDn+pPAu5DCj63oxh0W9ywPMURZNYmaeIqDuXx9d7mGr39GgGbHV4YHd5YHd6YHd6O793eeHy+EQ7JqVcBrVSDpXCf9Mo5VApZFAp5B2hSwm9RhFSofIHr85Kll7j30avUQa313c8rlaymkUklTNNbfje+n04Z3Pi5zdejuXfuTKixzPk5ykioqFDrZRjlEGDUYaBDSxweXxoc/kDkj809QxOdqe/WtXc7kZLmxvN7a5gf6rzrc5gsPL4BHhcXgBeEc6wJ5VCFhKWujcHjtCpMVKnwgi9GgmB73VqJOj91S2tih3biXpT09CG+RvLcc7mxMREA/5z7uRIH9KgYSgioiC1Ug61Uo0R/Vzv0esT0ObywO0V4PL44Pb64Oz46vb64PL44Op4rK1L2GpzedHaNYQ5PT2eC3wNhC63t2vn9vDFqRTBgDRS559ewuvz4eR5OzQqBXQqBfQaBeLUSujVCsSp/VUqncb/nC7QnKhWBp+LUyuCAU2nZt8sii5tLg/ePVyLZ3d+gfM2JyaM1uP1xdcNqz8gGIqISDT+qQn6PxrwUri9oYEqpKrl8ocqm8Pjr2DZ3Whsc6G5zYWmNnfwq9fn7yD/TXM7vmnu32jBS6FWyKHraPLTqRUdN2VIcOp5399cGHgucD8QzHRqjjIk8bS0u/FG+dcoO3YOFTXN8HSsATVlTDxeX3IdEuP711cyWjEUEVFUUSnkMOnkMOn6F758PgE2pwfNbS402v1Nf00d37u9AqaMNUAQALvLi/aOkNXu9garVoHmxfaOMBZ4rr2jktXu9sLt9X+wuLw+uNp8/a5mXYhWJQ+pUAWCl/++v4rlD1HKkPt9hTKtUsHO8cPIyfOt+MMnNdh64DSsjs552saPiMP861Kw+FuXI049fCpEAQxFRDSsyOUymOL8I+bSRkmz4rfL4/OHJpcHbS5/mLI7uwYqT7f7naHL7uoMX4GKWGCNQW/HX/EOtw8Otwuwi3fMMpm/STEQkuJUnRWrYKUrWPXqfr8jZHWriuk1SmiU8mExaila7K2ux/9++CX2nqgPPjYp0YB7b7gMsyeakZIQN6z/vRiKiIhE5u+b1f9qVm8CS+O0dwlOgQqVPVDB6ghawXDl9IZUt9q6VbvanB60ub0QBEAQOhd4rm8V7bAhl6FLf6tu/bACowx7qWp1r4LpQipeHH3YHxs/OonVO48C8IfgW6Yk4ic5afj2JDOrhB0YioiIokDXpXH6u+ZgbwRBgMPt6wxR7i5VLKcX7T3ud6lqdWk+DASx9o6qWLvbP+rQJwA2Z8ckpbb+T0zanVIuu2D/qwv13+rZ1NjRcV7dGc6UMdo5/s1PaoKBaP51KXjgpolISejniIoYxlBERDSMyWQyxHVUZiDihMWBzuy9NQO2dXSQD1S1ut/vq6mx65QP/sWkPRc5kvColfJuTYbK4EjEzqZFZbf7XapgGiXiVIrg7PLxWlXEq1r7vqzHL/9SBQD4j5sn4uHbpkT0eIYyhiIiIhKdQi6DQeOfOwoiLpnl8frQ5vZ2NA12VqwCgctf8erSV6tLKLtQ06Pd6QmOunJ5/FNHiNk53r+uoTK4EHS8Vol4jQpalRwKuRxKuQwKhQxapSKkr1b3aSBCgpfa/9jFKlsOtxcr/lwFnwB8/5pk/L/c4TPnUH8wFBERUdRQKuQwKuQDWgi6N907x9svpT9WSBDzNz22ObvMueXyNyH61zV0ob7VJeoxA/7A1bWpMNg3q6PS9dfPzwIAxhg1ePKu9GHdifpSMBQREdGwJ0Xn+K7rGvqX3un6vRtOjw9en+Cf/d0rwOHx9lrlCoSt3kYiOj3+yVCbLlLZejRvquRziMUChiIiIiIJKLpM/yCm3kYi9t43y99EOEKnQv5V40U9hljFUERERBRFpBqJSEBsjj0kIiIiChNDEREREREYioiIiIgAMBQRERERAWAoIiIiIgLAUEREREQEgKGIiIiICABDEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRERERAWAoIiIiIgIAKCN9AINJEAQAgNVqjfCREBER0aUKfG4HPselMqxCkc1mAwCkpKRE+EiIiIgoXDabDSaTSbL9ywSpY9cQ4vP5cPbsWcTHx0Mmk4myT6vVipSUFJw+fRpGo1GUfQ4HvG79w+vWf7x2/cPr1j+8bv1zoesmCAJsNhuSkpIgl0vX82dYVYrkcjmSk5Ml2bfRaOQbvx943fqH163/eO36h9etf3jd+qe36yZlhSiAHa2JiIiIwFBEREREBIChaMA0Gg2eeOIJaDSaSB9KVOF16x9et/7jtesfXrf+4XXrn0hft2HV0ZqIiIjoQlgpIiIiIgJDEREREREAhiIiIiIiAAxFRERERAAYii7q+PHjyM/Px+jRo2E0GnHDDTfggw8+CD7/+eefY/78+UhJSUFcXByuvPJKrFu37qL7/fnPf44rrrgCcXFxMJvNyM/PxxdffCHlqQwqKa5bY2MjfvGLX2DKlCnQ6XRITU3Fgw8+iJaWFqlPZ1BJ9Z57+eWXcdNNN8FoNEImk6G5uVnCsxh8Ul03p9OJX/ziFxg9ejT0ej3uuusunDlzRspTGVQXu24AsGzZMmRmZkKj0WDmzJmXtN8vv/wS3/3ud2E2m2E0GvGjH/0IdXV1EpxBZEh13Wpra7FgwQKMHTsWer0e11xzDf70pz9JcAaRIcV1O3XqFGQyWa+3rVu3hnV8DEUXcccdd8Dj8eD999/HwYMHMXPmTNx5552ora0FABw8eBBmsxlvvPEGDh8+jMceewzLly/H7373uz73m5mZiVdffRVHjx7Fu+++C0EQkJubC6/XOxinJTkprtvZs2dx9uxZ/PrXv0ZVVRVee+01lJaWYvHixYN1WoNCqvdcW1sbbr/9dqxYsWIwTmPQSXXdHnroIWzfvh0lJSXYu3cvWltbceeddw6b31XAv8TCfffdh7vvvvuS9mm325GbmwuZTIb3338fH3/8MVwuF+bNmwefzyfVqQwqKa4bACxYsADHjh3DX//6V1RVVeF73/se7r77blRUVEhxGoNOiuuWkpICi8USclu1ahX0ej3y8vLCO0CBLuj8+fMCAOGjjz4KPma1WgUAwu7duy/4ugceeEC4+eabw/pZn3/+uQBAOHHiRL+Pd6gYzOv2xz/+UVCr1YLb7e738Q4lg3HtPvjgAwGA0NTUNNDDHTKkum7Nzc2CSqUSSkpKgo998803glwuF0pLS8U5+AgK97o98cQTwlVXXXXR/b777ruCXC4XWlpago81NjYKAIRdu3aJcuyRJNV1EwRB0Ov1wubNm0MeS0hIEH7/+98P6JiHAimvW3czZ84U7rvvvrBfx0pRH0aNGoUrr7wSmzdvht1uh8fjwYYNGzBmzBhkZmZe8HUtLS1ISEi45J9jt9vx6quvYsKECUhJSRHj0CNqsK5b4DVGoxFKZWws4zeY1y6WSHXdDh48CLfbjdzc3OBjSUlJmD59Ovbt2yfqOURCf6/bxTidTshkspAJ+LRaLeRyOfbu3SvGoUeUVNcNAL71rW/hrbfeQmNjI3w+H0pKSuB0OnHTTTeJc/ARJOV16+rgwYOorKzsXytCvyLYMHLmzBkhMzNTkMlkgkKhEJKSkoSKiooLbr9v3z5BpVIJ77333kX3/dJLLwl6vV4AIEydOjUmqkQBUl63gPr6eiE1NVV47LHHRDjioUPqaxeLlSJBkOa6/eEPfxDUanWPx+fOnSv87Gc/E+OwIy6c63apf7mfO3dOMBqNwrJlywS73S60trYK//7v/y4A4HW7iObmZuG2224TAAhKpVIwGo1h/b841El13bq6//77hSuvvLJfxzcsK0VPPvnkBTtlBW4HDhyAIAh44IEHkJiYiD179uDTTz9Ffn4+7rzzTlgslh77PXz4MPLz8/H4449j7ty5Fz2Oe+65BxUVFfjwww8xadIk/OhHP4LD4ZDilEUxVK4bAFitVtxxxx1IT0/HE088Ifapim4oXbtoMlSvmyAIkMlkYpyiJKS6bpfKbDZj69at+Nvf/gaDwQCTyYSWlhZcc801UCgUIp6puCJ93QDgl7/8JZqamrB7924cOHAAhYWF+OEPf4iqqiqRzlJ8Q+G6BbS3t+PNN9/sf1/TfkWpKHf+/Hnh6NGjfd7a29uF3bt392gXFwRBmDhxolBUVBTy2OHDh4XExERhxYoV/Tomp9Mp6HQ64c033+z3eUltqFw3q9Uq5OTkCLfeeqvQ3t4uyrlJbahcO0GIrkpRpK/bP/7xDwGA0NjYGPJ4RkaG8Pjjjw/8BCUixXUThP795X7+/Pnge23MmDHCc88919/Tklykr9uJEycEAMKhQ4dCHr/11luFn//85wM6NylF+rp1tXnzZkGlUgnnzp3r17nERkeMMI0ePRqjR4++6HZtbW0AALk8tKAml8tDRlAcPnwYt9xyCxYtWoTVq1f3+7gEQYDT6ez366U2FK6b1WrFbbfdBo1Gg7/+9a/QarVhnEHkDIVrF40ifd0yMzOhUqmwa9cu/OhHPwIAWCwWHDp0CM8991w4pzKoxL5uAz0WAHj//fdx7tw53HXXXaLsVwqRvm4X2q9CoRjSo/Yifd26euWVV3DXXXfBbDb3bwf9ilLDxPnz54VRo0YJ3/ve94TKykrh2LFjwsMPPyyoVCqhsrJSEARBOHTokGA2m4V77rlHsFgswVvXlHrmzBlhypQpwieffCIIgiB8+eWXwrPPPiscOHBA+Prrr4V9+/YJ+fn5QkJCglBXVxeRcxWTVNfNarUK2dnZwowZM4QTJ06EvM7j8UTkXMUm1bUTBEGwWCxCRUWFsHHjxuAIkIqKCqGhoWHQz1NsUl63pUuXCsnJycLu3buFzz77TLjllluEq666Kibec5dy3QRBEKqrq4WKigrh5z//uTB58mShoqJCqKioEJxOpyAIvV+3//u//xP++c9/CidOnBBef/11ISEhQSgsLBz0c5SCVNfN5XIJEydOFGbPni188sknwokTJ4Rf//rXgkwmE95+++2InKuYpHy/BV4nk8mEd955p9/HyFB0Efv37xdyc3OFhIQEIT4+Xrj++uuFnTt3Bp9/4oknBAA9bmlpacFtvvrqKwGA8MEHHwiC4B/Sm5eXJyQmJgoqlUpITk4W/u3f/k344osvBvnspCPFdQs0+/R2++qrrwb3BCUkxbXr63Wvvvrq4J2chKS6bu3t7cJ//Md/CAkJCUJcXJxw5513CjU1NYN4ZtK62HUTBEH49re/3efvXW/X7ZFHHhHGjBkjqFQqYdKkScJvfvMbwefzDeKZSUuq63b8+HHhe9/7npCYmCjodDohIyOjxxD9aCbVdRMEQVi+fLmQnJwseL3efh+fTBAEoX81JiIiIqLYMSxHnxERERF1x1BEREREBIYiIiIiIgAMRUREREQAGIqIiIiIADAUEREREQFgKCIiIiICwFBEREREBIChiIiIiAgAQxERERERAIYiIiIiIgAMRUREREQAgP8PwYyVbEN3+1wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there were a total of 112.0 votes from 112 voting tracts\n"
     ]
    }
   ],
   "source": [
    "print(\"Here is a plot of all plans with at least six votes. Vote number at plan center, circles=tract votes\")\n",
    "counter = 0.\n",
    "for planNo in range( len(planTLnos) ):\n",
    "    if planRegionNo[planNo] == currentRegionNo:\n",
    "        counter += len(planChoosers[planNo])\n",
    "        if len(planChoosers[planNo]) > 5:\n",
    "            plotPoly(countyGeom[mC])\n",
    "            for t in planChoosers[planNo]:\n",
    "                plotPoly(tractCP[t].buffer(0.01))\n",
    "            plotCenter(len(planChoosers[planNo]),districtPCP[planTLnos[planNo][0]].buffer(0.02) )\n",
    "        plt.show()\n",
    "print(\"there were a total of\",counter,\"votes from\",len(regionalVotingList),\"voting tracts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5772214c-0f90-4e37-a4a8-d9e4b40bcd3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets modify Lucas approach for Montgomery.  7 districts (4 in Montgomery, 1 each Greene, Clark, 1 Mtgmry straddler\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county 56\n",
      "working on tract 3560\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 3563 generated a noncontiguous district.  nPlans still only 951\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 3493 generated a noncontiguous district.  nPlans still only 954\n",
      "working on tract 3500\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on tract 3360\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on tract 3340\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 3238 generated a noncontiguous district.  nPlans still only 964\n",
      "working on tract 3260\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all done creating regional plans for region number 6  =  Dayton\n",
      "we had a total of 37 3 jiggy and nonjiggy regional plans\n"
     ]
    }
   ],
   "source": [
    "# WIP - Dayton area 10/29/22.  This is a seven-district region, tho whole Greene and Clark may be red\n",
    "print(\"Lets modify Lucas approach for Montgomery.  7 districts (4 in Montgomery, 1 each Greene, Clark, 1 Mtgmry straddler\")\n",
    "mC = 56 #main county = Montgomery\n",
    "currentRegionNo = 6   #\"Dayton\"\n",
    "nDisconMax = 1 #allow one district to be discontinuous - by visual inspection, these are minor for Dayton area\n",
    "pairedCountyList = [28, 11, 54, 67, 8]  #Greene, Clark, Miami, Preble, Butler (Darke too far)\n",
    "spcGroups = [ [11 ], [28, 54], [], [8,18],[67] ]  #these are possible third counties in a Mtgmry-PPC-3rd straddler \n",
    "ppC = -999  #a default flag to not draw a whole district in any neighboring counties\n",
    "ppC = pairedCountyList[0]  #primary paired county (e.g. Greene - 28)\n",
    "luringCountyList = [28,11,54,67,8, 28,11,54,67,8, 11,54,67,8]   #Warren is 2-whole, Darke too far away.  De-emphasize Greene slightly due to its constraints\n",
    "forcedTractList = []  #for Montgomery, straddlers can be anywhere\n",
    "ppCmaxPop = countyPop[ppC] % avgDistrictPop  #the max population from the primary pairing county that can be used in a straddling district\n",
    "targetRemnantPop = avgDistrictPop * (countyDistricts[mC]%1.)  #the natural pop left after filling whole districts in main county\n",
    "luringList = []\n",
    "for c in luringCountyList:\n",
    "    for tt in countyTractList[c]:\n",
    "        luringList.append(tt)   #these tracts in nearby counties \"lure\" HDs which contain them to center straddler HDs\n",
    "forcedGeom = countyGeom[mC]   #default; we do not force any tracts to be in the original HDPoly's of straddler districts\n",
    "if len(forcedTractList) > 0:\n",
    "    forcedGeom = tractCP[forcedTractList[0]]\n",
    "    for T in forcedTractList:\n",
    "        forcedGeom = forcedGeom.union(tractCP[T])\n",
    "countyStraddlerList[mC] = get_straddlers(targetRemnantPop, countyPop[mC], countyTractList[mC], luringList, forcedGeom, HDPoly, tractCP, tractPop3)\n",
    "mC_EnsnaredPop = 0.\n",
    "for t in countyTractList[mC]:\n",
    "    if t in countyStraddlerList[mC]:\n",
    "        HDtype[t] = \"straddlerMaker\"        \n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\"x\", label=\"generated a straddler HD\")\n",
    "        mC_EnsnaredPop += tractPop3[t]\n",
    "    else:\n",
    "        HDtype[t] = \"notAstraddlerMaker\"\n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\".\", label=\"not a straddler generator\")\n",
    "plotPoly(countyGeom[mC])\n",
    "plt.show()\n",
    "\n",
    "print(\"I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county\",mC)\n",
    "nJiggy = 0\n",
    "nNonjiggy = 0\n",
    "for t in countyStraddlerList[mC]:\n",
    "    targetRemnantPop = avgDistrictPop * (countyDistricts[mC]%1.)  #reset in case we adjusted for previous tract\n",
    "    if t%20 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "    adjCountyHDPolyPop = [0.] * nCounties  #for Montgomery, we need special rules based on which counties we spill into\n",
    "    for cc in pairedCountyList:\n",
    "        for tt in countyTractList[cc]:\n",
    "            overlap = HDPoly[t].intersection(tractGeom[tt]).area\n",
    "            if overlap > 0:\n",
    "                adjCountyHDPolyPop[cc] += tractPop[tt] * overlap / tractGeom[tt].area\n",
    "    ppC = adjCountyHDPolyPop.index(np.max(adjCountyHDPolyPop) )\n",
    "    spClist = spcGroups[pairedCountyList.index(ppC)]  #list of possible spc's, given the selected primary pairing county\n",
    "    spC = -999  #secondary pairing county\n",
    "    if len(spClist) > 0:\n",
    "        spC = spClist[0]  #default - secondary pairing county is the first in the ppC's spcList\n",
    "        for cc in spClist:  #nothing happens here unless >1 possible spc's listed\n",
    "            if adjCountyHDPolyPop[cc] > adjCountyHDPolyPop[spC] :  #found a stronger spc\n",
    "                spC = cc\n",
    "    isWCwhole = [\"yes\",\"yes\"]  #used later in creating a full Greene district\n",
    "    wClist = [pairedCountyList[0], pairedCountyList[1] ]\n",
    "    for wC in wClist:  #list of neighbor counties that exceed a whole district\n",
    "        if ppC == wC or spC == wC:  #straddler will be a bit high, need to shade down Mtmry straddler districtPop to ~0.48\n",
    "            isWCwhole[wClist.index(wC)] =  \"no\"\n",
    "    if ppC == wClist[0] or spC == wClist[0]:  #modify straddler pop when Mtmry paired w/ Greene and Clark (4.51 + 1.14 + 1.41) %1\n",
    "        targetRemnantPop = avgDistrictPop * (1.03 - (countyDistricts[ppC]+countyDistricts[spC])%1 )\n",
    "    \n",
    "    HDangle = [HDangle0[t],  HDangle1[t], HDangle2[t], HDangle3[t] ]\n",
    "    HDradius = [HDradius0[t], HDradius1[t], HDradius2[t], HDradius3[t] ]\n",
    "    HDtractList[t] = []\n",
    "    bigR = 4.*countyGeom[mC].area ** 0.5   #needs to be set big, as some city-based tracts may need to reach far into hinterlands\n",
    "    snappedTolerPop = 0.03*avgDistrictPop  #= countyPop[mC] / len(countyTractList[mC])\n",
    "    inCountyList = snapHD(t,targetRemnantPop, snappedTolerPop, countyTractList[mC],tractCP, tractPop3, HDangle, HDradius, bigR)\n",
    "    snappedHDpop[t] = 0.\n",
    "    HDtractList[t] = []\n",
    "    for tt in inCountyList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    iCP = snappedHDpop[t]\n",
    "    ppCmaxPop = min(countyPop[ppC]%avgDistrictPop, avgDistrictPop - iCP)\n",
    "    if ppC == pairedCountyList[0] : #if Greene selected, need to force Greene partial contiguous w Clark\n",
    "        spcClosePoint = tractCP[ getClosestTract(tractCP[t],countyTractList[spC],tractCP) ]\n",
    "        midPoint = Point( 0.5*(spcClosePoint.x + tractCP[t].x),0.5*(spcClosePoint.y + tractCP[t].y) )\n",
    "        ppCcT = getClosestTract(midPoint, countyTractList[ppC], tractCP)\n",
    "        ppCList = debug_pieCut2(ppCcT,  ppCmaxPop, snappedTolerPop, countyTractList[ppC], tractCP, tractPop3, -999)\n",
    "    else:\n",
    "        ppCList = snapHD(t,    ppCmaxPop, snappedTolerPop, countyTractList[ppC],tractCP, tractPop3, HDangle, HDradius, bigR)    \n",
    "    for tt in ppCList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    #print(t,r3(iCP),r3(snappedHDpop[t]),\"tract,inCountyPop, iCP+ppcPop\")\n",
    "    mopupPop = avgDistrictPop - snappedHDpop[t]\n",
    "    if mopupPop > 0.05 * avgDistrictPop:\n",
    "        mopupCounty = spC\n",
    "        mopupPool = countyTractList[mopupCounty].copy()\n",
    "        mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "        mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, -999)\n",
    "        for tt in mopupList:\n",
    "            snappedHDpop[t] += tractPop3[tt]\n",
    "            HDtractList[t].append(tt)\n",
    "    \n",
    "    LISTS = [HDtractList[t]]  #first of seven districts to be drawn for this mC straddler-tract trigger\n",
    "    #now draw whole Greene.  If the Mtgmry straddler did not include Greene, constrained to start from west\n",
    "    # then,  draw a whole Clarke district.  If the Mtgmry straddler did not include Clark, unconstrained random pie cut\n",
    "    targetPop = avgDistrictPop\n",
    "    tolerPop = 0.03 * targetPop   \n",
    "    for wCno in range(len(wClist)):\n",
    "        wC = wClist[wCno]\n",
    "        wholeDistrictList = []\n",
    "        if isWCwhole[wCno] == \"no\":  #partial already drawn.  Remainder of this county forms whole district\n",
    "            for tt in countyTractList[wC]:\n",
    "                if tt not in HDtractList[t]:\n",
    "                    wholeDistrictList.append(tt)\n",
    "        else:  #pick a tract to trigger the piecut.\n",
    "            pieStartCandidates = []\n",
    "            if wC == [11]:  #Clark is unconstrained; do a random piecut\n",
    "                for tt in countyTractList[wC]:\n",
    "                    pieStartCandidates.append(tt)\n",
    "            else:  # (e.g. Greene) pick a random tract on the Mtgmry border to trigger the piecut\n",
    "                for tt in countyTractList[wC]:\n",
    "                    hasMCneighbor = \"no\"\n",
    "                    for ttt in countyTractList[mC]:\n",
    "                        if ttt in neighborList[tt]:\n",
    "                            hasMCneighbor = \"yes\"  #we found a mainCounty neighbor to this tract, so it's on border\n",
    "                    if hasMCneighbor == \"yes\":\n",
    "                        pieStartCandidates.append(tt)\n",
    "                        \n",
    "            pick = random.randint(0, len(pieStartCandidates) - 1)\n",
    "            pieCutStarter = pieStartCandidates[pick]\n",
    "            wholeDistrictList = debug_pieCut2(pieCutStarter, targetPop, tolerPop, countyTractList[wC], \n",
    "                                              tractCP, tractPop3, -999)         \n",
    "            if \"DEBUG\" != \"DEBUG\":\n",
    "                plotPoly(countyGeom[mC])\n",
    "                plotPoly(countyGeom[wC])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                for ttt in pieStartCandidates:\n",
    "                    plotCenter(\"pSC\",tractGeom[ttt])\n",
    "                for ttt in wholeDistrictList:\n",
    "                    plotPoly(tractGeom[ttt])\n",
    "                plt.show()\n",
    "        LISTS.append(wholeDistrictList)\n",
    "        \n",
    "    # now for each straddler tract, do two orthogonal bisections to form four whole Mtgmry districts\n",
    "    nonstraddlerList = []\n",
    "    for tt in countyTractList[mC]:\n",
    "        if tt not in HDtractList[t]:  #i.e. not in this proposed straddler district\n",
    "            nonstraddlerList.append(tt)\n",
    "    targetPop = 2. * (countyPop[mC] - snappedHDpop[t] ) / int(countyDistricts[mC])  #\"2.\" for 1st of two orthog piecuts\n",
    "    tolerPop = 0.02 * targetPop\n",
    "    halfList = [list(), list()]\n",
    "    halfListPop = [0., 0.]\n",
    "    ttt = getClosestTract(tractCP[t], nonstraddlerList, tractCP)\n",
    "    wholeCP = get_PCP(nonstraddlerList, tractCP, tractPop3) #pop center of the mC's tracts in the 4 whole districts\n",
    "    aNgLe = math.pi/2 + math.atan2(wholeCP.y - tractCP[t].y, wholeCP.x - tractCP[t].x) #change here; cut on the beeline\n",
    "    halfList[0] = debug_pieCut2(ttt, targetPop, tolerPop, nonstraddlerList, tractCP, tractPop3, aNgLe) #even split\n",
    "\n",
    "    for tt in nonstraddlerList:\n",
    "        if tt in halfList[0]:\n",
    "            halfListPop[0] += tractPop3[tt]           \n",
    "        else:\n",
    "            halfList[1].append(tt)\n",
    "            halfListPop[1] += tractPop3[tt]\n",
    "    for L in halfList:\n",
    "        targetPop = 0.5 * halfListPop[halfList.index(L)]\n",
    "        tolerPop = 0.03 * targetPop\n",
    "        halfCP = get_PCP(L, tractCP, tractPop3)\n",
    "        AnGlE = math.atan2(halfCP.y - wholeCP.y, halfCP.x - wholeCP.x)\n",
    "        qtrListEven = debug_pieCut2(t, targetPop, tolerPop, L, tractCP, tractPop3, AnGlE)\n",
    "        qtrListOdd = []\n",
    "        for tt in L:\n",
    "            if tt not in qtrListEven:  #throw all tracts not in 0th (or 2nd) whole district into the 1st (or 3rd)\n",
    "                qtrListOdd.append(tt)\n",
    "        LISTS.append(qtrListEven)\n",
    "        LISTS.append(qtrListOdd)\n",
    "\n",
    "    isJiggy = True  #default; the regional plan has only contiguous districts\n",
    "    nDiscon = 0\n",
    "    for L in LISTS:\n",
    "        if isContiguous(L,neighborList) == False:\n",
    "            nDiscon +=1\n",
    "    if nDiscon > nDisconMax:  #for Dayton area, via visual inspection, most of these discontinuities are minor\n",
    "        isJiggy = False\n",
    "    if isJiggy:\n",
    "        nJiggy +=1\n",
    "    else:\n",
    "        nNonjiggy +=1\n",
    "    if t%20 == 0 or isJiggy == False :  #False:  #debug loop starts here **************\n",
    "        plotPoly(countyGeom[mC])\n",
    "        for L in LISTS:                \n",
    "            #for c in pairedCountyList:\n",
    "            #    plotPoly(countyGeom[c].centroid.buffer(0.1))\n",
    "            POLLY = tractGeom[L[0]]\n",
    "            for ttt in L:\n",
    "                POLLY = POLLY.union(tractGeom[ttt])\n",
    "            plotPoly(POLLY)\n",
    "            if isContiguous(L, neighborList) == False:\n",
    "                plotCenter(\"DisC\",POLLY)\n",
    "                plotCenter(t,tractGeom[t])\n",
    "            else:\n",
    "                plotCenter(LISTS.index(L),POLLY)\n",
    "        plt.show()\n",
    "        #pause = input(\"ready for next HD center?\")\n",
    "    if isJiggy:  #yes, the plan is contiguous. append the district plans for all districts in this new regional plan\n",
    "        planChoosers.append([])      #blank b/c the straddler-generator would likely NOT pick this plan\n",
    "        planRegionNo.append(currentRegionNo)\n",
    "        planNo = len(planTLnos)\n",
    "        planTLnos.append([])  #start a new plan with a blank slate of districts\n",
    "        for L in LISTS:\n",
    "            dTLno = len(districtTractList)\n",
    "            districtTractList.append(L)\n",
    "            planTLnos[planNo].append(dTLno)\n",
    "            districtPCP.append(get_PCP(L, tractCP, tractPop3))\n",
    "    else:\n",
    "        print(\"oh darn, the regional plan for tract\",t,\"generated a noncontiguous district.  nPlans still only\",len(planChoosers) )\n",
    "print(\"all done creating regional plans for region number\",currentRegionNo,\" = \",regionName[currentRegionNo])\n",
    "print(\"we had a total of\",nJiggy, nNonjiggy,\"jiggy and nonjiggy regional plans\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8d41c4b3-1fc2-4104-bdae-cbc24e2babfb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now Dayton-area vote. Preble, Darke, Butler, Miami do not vote, as even if they would ..\n",
      "...prefer a straddling district, the rest of the map isn't constrained by that choice.\n",
      "All Montgomery vote.  Clarke and Greene vote if drawn into at least one regional plan.\n",
      "Clark and Greene voters could abstain, if they'd prefer a district centered in county.  Modify code from Lucas.\n",
      "working on tract 3287 in region Dayton\n",
      "working on tract 3337 in region Dayton\n",
      "working on tract 3387 in region Dayton\n",
      "working on tract 3456 in region Dayton\n",
      "working on tract 3506 in region Dayton\n",
      "working on tract 3556 in region Dayton\n",
      "working on tract 3606 in region Dayton\n",
      "working on tract 8530 in region Dayton\n",
      "working on tract 8580 in region Dayton\n",
      "working on tract 8630 in region Dayton\n",
      "working on tract 4668 in region Dayton\n",
      "All done voting on plans for region.  Here are the plan winner centerpoints for region 6\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now Dayton-area vote. Preble, Darke, Butler, Miami do not vote, as even if they would ..\")\n",
    "print(\"...prefer a straddling district, the rest of the map isn't constrained by that choice.\")\n",
    "print(\"All Montgomery vote.  Clarke and Greene vote if drawn into at least one regional plan.\")\n",
    "print(\"Clark and Greene voters could abstain, if they'd prefer a district centered in county.  Modify code from Lucas.\")\n",
    "\n",
    "votingTractList = list()  #we could turn this into a def function, but we are tweaking for Dayton area ...\n",
    "for t in countyTractList[mC]:\n",
    "    votingTractList.append(t)\n",
    "for pC in [pairedCountyList[0], pairedCountyList[1]] :  #only Greene and Clark can vote\n",
    "    for t in countyTractList[pC]:\n",
    "        foundInPlan = \"no\"\n",
    "        while foundInPlan == \"no\":\n",
    "            for planNo in range(len(planRegionNo)):\n",
    "                if planRegionNo[planNo] == currentRegionNo :\n",
    "                    for dTLno in planTLnos[planNo]:\n",
    "                        if t in districtTractList[dTLno]:\n",
    "                            foundInPlan = \"yes\"\n",
    "        if foundInPlan == \"yes\":\n",
    "            votingTractList.append(t)\n",
    "            \n",
    "bestPlanList = list()\n",
    "counter = 0\n",
    "for t in votingTractList:\n",
    "    counter +=1\n",
    "    if counter%50 == 0:\n",
    "        print(\"working on tract\",t,\"in region\", regionName[currentRegionNo] )\n",
    "    nextbestDistance = MAPdiagonal  #set to a very big number\n",
    "    if countyNo[t] in pairedCountyList :  #here, different from Lucas area.  Greene and Clarke are whole-plus counties\n",
    "        nextbestDistance = countyPCP[countyNo[t]].distance(tractCP[t])  #.. so alternative is centering in the county\n",
    "    minDistance = nextbestDistance    \n",
    "    bestDistrict = -999\n",
    "    for planNo in range(len(planTLnos)):\n",
    "        if planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            tractInPlan = \"no\"\n",
    "            for dTLno in planTLnos[planNo] :\n",
    "                if t in districtTractList[dTLno]:   #.. and this tract can only vote if it's in a district (some pC tracts not drawn in)\n",
    "                    currentDistance = districtPCP[dTLno].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = d\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict != -999:   #we found a decent district  (closer than the alt HD for non-ppC paired-county tracts\n",
    "        planChoosers[bestPlan].append(t)  #HDtype[t] = \"inRegion\"+str(currentRegionNo)\n",
    "        chosenPlan[t] = bestPlan\n",
    "\n",
    "print(\"All done voting on plans for region.  Here are the plan winner centerpoints for region\",currentRegionNo)\n",
    "plotPoly(countyGeom[mC])\n",
    "for planNo in range( len(planTLnos) ):\n",
    "    if planRegionNo[planNo] == currentRegionNo:\n",
    "        if len(planChoosers[planNo]) > 0:\n",
    "            plotCenter(len(planChoosers[planNo]),districtPCP[planTLnos[planNo][0]].buffer(0.02) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e26d0f2c-af12-4a33-8330-6c51b0abc875",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is a plot of all plans with at least 15 votes. Vote number at plan center, circles=tract votes. Region Dayton\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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V5QGQkDA86H3i44YA4PHUUlW1LqTP6wwUsIiIiHSEbR/5nkddADFBTv6YcLnveesHvsG6QfJ46wEwW2KD3sc/ewjA5aoIer/OQgGLiIhIRyhc73vOCWGqcN+JvufaYijeEvRuNlsqAE5ncdD7uN1Vga/j44cEvV9noYBFRESkI9SX+57jM4PfxxbT9HXRpqB3S0gYBkBF+Yqg9ylv3DYmpi8xMX2C3q+zUMAiIiLSEWzxvmdn1eG3a87rafo6Pivo3TLSTweg8MC7LTInh7N//39b7NvVKGARERHpCOmDfM8Fa4Pfx59VscVBbvBdSWlpJxIXNxi3u5Jt2/+v3e2LSxZTVPwhYKZvzmXBt68TUcAiIiLSEQae6nte/1bLzMnhrH/T99z/BDBbgv4ok8nMMcfcB8C+fS+zc+ffaatwfVn5N6xbdxsAOTmXH7bIXGemgEVERKQjDD/HN6W5bCesfqn97Svz4eunfF9PuCLkj0tPO4nBg34FwI6df2HV6kspKvoQp7MUt7uaioo1bNp0D6tWXYrHU01KymSGDrkz5M/pLLT4oYiISEewx8Mpv4EP7oaFsyFrZNvdPA1V8MqV0FAJ2cfCiPOP6CMHDLgRqy2ZrVsfpLx8OeXly1vdrnevWQwf/iBms+OIPqcz0OKHIiIiHcXrgZd/BNs/9q0X9P274bif+oIZ8NVa2fkZvPcbKN4MjmT42ceQcXTdNPX1+8nb8xzFRR9RV+8rKme1ppCWdgI5fS/H5RjIh7s/ZHPpZmpcNaTHpjMhawKn5Z5GrDX4Wi7hEOz9WwGLiIhIR3LWwKs/ga2LfN/b4qD3WLDF+mqtVO7zvZ7QGy6ZB32P7dCP93ob8HrdWCxx1LnreGLVE7yy+RXchvuQbVMdqdx27G1cOPTCoEv8dzQFLCIiItHi9cKaf8OSP0PZrpbv2eJg/GVw2myITw9bE0rrS7n+w+vZVOqbiTQhawJT+kwhyZHEvup9fJL3CfuqfcHTj475Efd87x7MpsgPbVXAIiIiEm2GAQc2+KYve1yQ1NdX3dYeF9aPdXvdXLPoGlYfWE1aTBpzTp7DCdknHLLNixte5IlVT+A1vNw0/iZuHHdjWNvVmmDv3xp0KyIi3ZphGBTuqmTnt8WUF9Ti9XhJTIshZ3ga/cekY7GGMatgMvlWZu41Knyf0Yp5m+ax+sBqEm2JPHfWcwxKHnTINlazlWtGX0OqI5X7vryPp759iqn9pjI0tXNOe1bAIiIi3Vb5gVoWv7yJfZvLD3lv7Wf7SEyP4ZSLj2HAmIzINy5MXF4Xz657FoBfTvplq8GKX311NdnrXAytymRrYhG/nnsFM/YMI3fkGMZOm0HO8MgGWoejgEVERLqlgh0VvPP3b2modWOxmhk0IZPeg5KxWE2U5tewdcUBqkrqefcf33HSj4Yy7ozcaDe5Q6woWEFxXTFpMWnMGjKrze22r/yahXOfoL6qkqEpFraeALt71VLxXTHVSxezcelihp94KtOuuwV7THRnEoECFhER6Yaqy3yBSEOtm96Dkph2zSiSMlredL83azBfvr6NdZ/tY+mrW0lMj2HQ+BAWLuykvi36FoATsk/AZra1us3GJZ/y3j8eA8MgPacf086eyReFv6eCSibdcR3uVbtZ9+lHbPriMyoOFPCjex/C5ohp9ViRokq3IiLS7Sz571bqa1xk9kvk/NsmHBKsANjsFk65+BjGnp4DwOKXN+GsP3Tqb1dTUFMAQP+k/q2+X5S3i0X/7wkwDMacPp0r/vgEY884kwpXJQAL675g+vW38uMHHiEmPoH8rZv5+Nn/F7H2t0UBi4iIdCul+TXsWFOEyQRnXD0Cm6PtNXpMJhMnXDiE5MxY6qpcbPwyP4ItbYPXA+teh/mXwV9GwyP94W8T4a2bYfdX7e9ueAHanKK8+IWn8bjdDDr2OKb97BYs1pZZmAZ3AwB9h4/k/F/dDSYT6xd/RP62zUd5YkdHAYuIiHQr21YeAKD/6HTSsxPa3d5iNTP2dN/4lW0rDoS1be06sAmeOhVeuwY2vQMVe6C+HEq2+eq6PHcW/PdyqCtr8xAZsb4BxPur9x/yXlHeLvLWfYfZYuGMn96IyXxoGHDJiEsCX+eOHMPIk78PwOr3/3eUJ3d0FLCIiEi3UrizAvAFLMHyb3tgdyVejzcs7WrX/jXwzHQoXAsxKXDKr+EnC+Hm5XDZ63DslWC2wsb/wbMzoLa01cOMzhgNwLL8ZYes4LxjpW+toYETJpGUkdX0evkOwDfVeWzG2Bb7jJs2w7fNqm8wvFG6NihgERGRbqa6zNelkZwZfHG2pHTfgFKvx6BgR0VY2nVYdeUw/1JoqIDcyXDLN3D6PdB/CmQOg6FT4fy/wbUfQ2IfKNoIb/zMV5juIN/r8z3ibfHsq97H4j2LW7x3YJcvMDl4uvK/N/4bgBOzTyTO1vK69R58DAANtTWB/aNBAYuIiHRPoSyN02zbqNR//+xR3xpDaYPhstcgIav17bLHw+Wvg8UB2z7yZVsOEmeL4+JhFwMwZ/kcSuubMjH11b6BtfFpTdmnr/O/5rUtrwFw9airDzme2dI0BmjfpvWhnlmHUcAiIiLdSnyyHYDK4rqg9/FnZQB6D0w+4s82DIP95XVszK9kf3ndIV0yrWqohpXP+76e8SjEtLO8TK9RcMLPfV9/9Y9WN7lu7HX0S+xHfk0+V7x9Dgs+P43PlxxP8rELyT11P7UNawH4bM9n3PbpbRgYzBoyi0m9Jx32o2MSEts/nzBRHRYREelWsgYksWdjGXs2ljLq5L5B7bNngy8LkdU/EYst9L/lS6obePrzHbyxeh9FVU3BT1aigwsm9OW6UwaRnuBofeedn4GrBlIHwJAzgvvA466FJX+CPcugphjiW1bqNXvKuaG3gzk1Bnl11Tyws4rj4j0Mi/EQO8BgS/Vf+fMb81lb5ev+mtx7MndPvrvVj6opbxrgO3jS94JrXxgowyIiIt3K4GN93Sk71xRTUVTb7vZer8F3n+5psW8olmwtYupjn/HU5zsoqmrAajaRkWDHajZxoKqBpz7fwdTHPmPJ1qLWD5DvK/TGgJN8aw8FI6lP09c7Frd4q7Z2F9+s+AFx9d9yRx8Yk5yFGxNf1Vh5vsTB3KIY/lvmYG1VBWbg0mE/YO7UucRYWy8Mt+0b31TqrAGDccSFd9HGw1GGRUREupXM3ERyR6axZ0Mpn7y4ifNvG3/YBQ5XvLeLkn01OOKsjDwpO6TPWrK1iGue/waXx2B470Run3YMpw7LxGG10OD28NnmIh77cAubCqq45vlveO7q4zlp6EHrFtU0BjJJOaGeqs+qF2HMDwHweBr4bu0NOJ0HiI8fyglj/8mFMTmsKFzBwp0L2Viykb15W4hzG4zO9XJcfBWDbRuxtjK9GcDVUM/yBa8DMPKU04+sfR1EGRYREel2TvnxMdgcFvZvLee9ud9RV+08ZBuvx8vX/9vBN+/sBOCki4YSE996KfvWFFc3cOu81bg8BueM6cOCW05k+qjeOKy+QaoOq4Xpo3qz4JYTOXtMb1weg1vnr6akuqHlgfzl8z0HvR6suKYBtHv2PEtNzVbs9kwmjH+J2NhcTCYTx/U+jnun3Mt/zv0Pf+p7J9O+6MOQT3LIssVSUbGC/Pw3Djms1+vhg6f+RmVRIQnpGYw948wja18HUYZFpIcyDAOP18DtNfA2fh14NPve6wW319u4TePXbbzm28+Lx0uLY3n9n9P4feDrVj7PBFgsJgyDwPbexq+9hsHkQemcekzXX+9FwiulVxxnXT+a9+auJW99Kf++dxnDvtebPoOSsVjNlOZXs2lZARUHfANzJ509gOHf69POUVv6x6fbKKt1Mbx3Io/9eFwgUDmYw2rhsYvGs6PoCzYVVPGPT7dz33kjmzW2n++5aEvwH24YEJcBtcUw5RYAvF43e/Y+D8CQwb/B4Wj952TiObPYseob9m1aT/6KNHpNrCUv7xmys38U2KbiQAEfPTOXXWtWYjKbmXHTL7HFRHctIZMR1BDmzq+yspLk5GQqKipISmpnhLV0K0bjDc3t9eLxGrg8/hux73u3p+nG3Pz1Q7bzGhiG4btRGuA1jMCxjcbvvYH3jVZvyJ7Gm2rTDRnfDdxo9rWXxm28rbzWdCNvN5AwfOd2cFtabN/Ka/7P6ao/+WnxdlbeMxVTsH390qMV5VXx8YsbKdlb3er7MfE2TrpoKMMm9w7puPUuD5Me/IjqBjcvXHN8UEH0Z1uKuOrZ5SQ6rKy4d2pTgLN3JfzrdLAnwB2bwBHETJy8ZfDsmb59frMDrA7Ky1ewctWPsVpTOPmkZZjbWPgQoL6mmrce/T35O9Yy+sqtmC0G9ZsvxmbuRVn+fvZt2oBheLHYbJx9yx0c872Tgr00IQv2/q0MSzdlNN6U3B7fjdHtMXA1Pvtu1l7cjc/+m7e78TXffl7fa437rMorY+2+CoZkJjAmJ7lFEODfrykoOOj7xs9u/n1r27k9zbY5OMBo3Ket7aTjWc0mzGYTVrMJi6np68CzyYSl2WuWxu8th+wHVrO5cRuwmM1YzDRuaz7kNcMAt9fAbAJz4+d+t7ecdft89SOumjJAwYoELbNfIhfddRx560vY+V0xZfk1eD0Giekx5AxLZehxvbDHhH4rXJVXRnWDm6xEBycPyWh/B+DkIRlkJjooqmpg1e5ypgxu7MrJngDpQ3zl95f9Pzj114c/kGH46rYAjJwFVt/so6oqX42UlJRJhw1WAGLiE/jRvQ+z4n9vUO66F7PFTXHRpxSvTwts03/sBE674qdk9BsQ1PmFmwKWIFQ3uKltcOPyGrjcXlyNN3PfsxenpzEg8Bz6Xltfuz1GYD+3t+k9/3H8wUQgwPA2vee/SbsC+zcLSpq9Hw6r88p5deXesBw7HGwW/03VHLi5Bp4tJmyNrwdutCYTZpNvQTT/DdN00Pf+1yyt3MgtpoNu4JaWN3L/Z7TY3nLwa2CxmBv3a7qZ+7Zp9rWlKWjwt6X557T2un+/1trdfHuzufMEBOv2VfDW6n0A/ODYHG49Y0iUWyRdjdlsYsCYDAaMCS6wCMa2A76MzbjclKB/XsxmE+W1vrE087/JawpYzGY49U5441r4/FEYcCL0P6HtAy17ErZ/DBY7nHx74GWnsxiAmJjgurYsViuTL7iIjz+ZDUDuCQ0cM+oyEtLSyR05lpReoWWdwk0BSzte/no3D7y9Hpene/wVb7P4bnpWi+9mZbWYsTU++75v5X2LiS+2lQSOcc6YPi1v/gcHBRb/e+aWAUIgUGj8rMC+rW1nbnFs20HfH7JdYwBibXzNfyOWrm1feR3XPP8NtU4PJw5JZ86FY5RdkU6hss4FQFqcPaT9/PeShesKWr4x5oewcYGvcu2/fwAz/gjjLwNzs3ExDdXw2SPw5d98359xP6QPDrxtMvlu6V6vK8Sz8UlI7svxUy9pf8MoUcDSjgVr9gf+gzmsZuwW383cZjE3Plr/2moxYW/la5vVd0P1b9s8YGh6zXeDtlqaBRLmpvcs/q/NTcGFPxCxmFsew38Tt1nMgcyBSFdgGAa/fvVbDlQ1MKxXInMvn4j9MFNTRSIpzu67fVY1HFlwcPzAtJYvmExwwdPgusJXcv/tn8Pn/weDvg9xaVCe53u9vnGdo5PvgCk3tzhETIyvSF5tbWjr/cTFDaK2dgeDBt3e/sZRpIClHY7GX5CPXTSOC489wjnyIhKyjzce4MvtJdgtZv555SSSYoKfbioSboMy4wFYt68SwzCC+mPQMAxyUmPZW1bHtScPOnQDexxc8l9fl8+SP/mClFUvtNwmdSCc+RAMP+eQ3VNSJgJQUbEKp7MEu7391apranZQW7sDk8lCctL4drePJgUs7Yiz+9JxtU5PlFsi0nMcqKrnzje+A+AnJw6gX3r0qmuKtGbSgDTsVjN5pbWs2VPOhH6p7e6zek85e8vqsFvNTOrfxvYWK5x4q6/0/vaPIf87cFb7aq3kTob+J/rGvLQiLm4gSYljqaz6jt15TzN0yOx227Rr95MApKedis2W0u720aT8ajv8ab9apzvKLRHpGbxegzte+ZbiaifDeyfyy2nHRLtJIodIcFg5b6yvKu4fF27C285EB6/X4I/vbwLg/HHZxDvayRfY42DEeXD63XDWHDjlVzDw5DaDFb+BA28FYM+e5ygpWXLYbQsK3qag4E3AxICBtxy+PZ2AApZ2xCrDIhJRL3+9myVbi4mxmfnbJROIsbVejEt6pmq3h89Kq5iXX8IbhWWsq6rFG6WiQr+YOpQYm5llO0p56L2Nba7MbBgGD767ka93lhJrs3DbGUPD1qaMjO/Tp/eFGIaH79Zex969L2MYLe9fXq+TXbv+H+s33AFA/37XkZw0Lmxt6ijqEmqH3eKL6eoUsIhExPJdvpVhLzm+H0N7RW8pe+lcipwu/rijgNcKS6k/KJvRL8bOL/r34uI+aZgjOLEgNy2Ohy8Yw+2vfMszS3eyo6ia384YzvDeTcXPNhVU8sf3N/HpZt96QQ9fOJrctPB2cQ4f/iBuTzVFRR+wect97M57ivS0U7DbM2hoKKS4ZDFO5wEAsvtcxODBd4S1PR1FAUuQNLtGJDKGZiUAUFpz6Nov0jN9U1HD1Wt3UuLydc33i7EzJM5BndfLd1V15NU7uX3zHt4vruCpUQOIs0Su8+DCY3NwewzueWsdn24u4tPNRfRNiSUrycGBygb2lftK/9stZh68YDQXTAj/5A2z2cGY0f9g794X2bHzb9TX72Pf/nkttrHbsxg8+A769P5Bl7m/KWBph0W1PEQiamQf31+nWwtbL6UuPcvG6jou/nY7NR4vI+NjmHNMDscnxwdusrUeLy/uK+aRnfl8WFLJtet28tLYQVgieBO+6LhcJvRL4S8fbeGD9YXsK68LBCpWs4npo3px+7RjGJIVuYyhyWQmN/dqsrMvpqTkM6qq1uJyV2GzpZCcNJ60tBMxm0OrIRNtCljaYW0MWKLVRyrS0wzI8E0X3VVSE/R0Ueme3F6DmzfspsbjZUpKPC+PHXxI9iTOYuaGfllMTI7nojXb+KS0iuf2FXNtTmQXyBzaK5EnL5tIVb2L9fsrqahzkRxrY1R2EolRnJJvscSQlXUmWVnRXWm5I2jQbTv81VLd3aTSrUhn1y8tDrPJN9C9qLoh2s2RKFpwoIwNNfWkWi083U5Xz3HJ8TwwxFc47bFdBdR6vJFqZguJMTa+NyidM0f15nuD0js8WOkm6xUfkZAClrlz5zJ27FiSkpJISkpiypQpvP/++4H3CwsLufrqq8nOziYuLo6zzjqLrVu3HvaYLpeL3//+9wwePJiYmBjGjRvHwoULj+xswsCfVlSGRSQy7FYzOam+QYnb1C3Uo83LLwXgutxMMu3t3/gvz04nN8ZOqcvDB8UV4W5eRBiGwZfbirnlP6uY/PBHDLrrPUbet5ALn/yCfy3ZQU1Dzym5EVLAkpOTwyOPPMKKFStYsWIFp59+OjNnzmT9+vUYhsGsWbPYsWMHCxYsYPXq1fTv35+pU6dSU1PT5jHvuecennrqKf72t7+xYcMGbrjhBi644AJWr1591CfXEfxjWDxaEVgkYsb0TQbg273d46YjoXN6vSyv8N07zs9KCWofi8nE2Zm+/ztflnf9YLeizsUN/17Jpf/6mne+y6ewsgHD8GUfV+WV8+C7Gzn9z4v5cltxtJsaESGNYTnvvPNafP/QQw8xd+5cli1bhs1mY9myZaxbt45Ro0YB8OSTT5KVlcW8efO49tprWz3mSy+9xN13383ZZ58NwI033siiRYv485//zL///e8jOacO5Q9YwrX6sYgcalxuMu+uzefbPeXRbopEyf4GF07DINZsYlCsI/gdG39Vv7i/hEeH5YancRFQWe/i4qeXsTG/EpvFxMXH9eP88dn0T4ujst7NVztK+OfnO8grreXKZ5fz/y6fyNSRvaLd7LA64jEsHo+H+fPnU1NTw5QpU2ho8PU1x8TEBLaxWCzY7XaWLl3a5nEaGhpa7AMQGxt72H38+1VWVrZ4hIM/YGmviqGIdJxxOSkAfLu3PKrtkOipaxyDEmexhDTwuiZKY1c6kmEY/Pa179iYX0lGgoM3bjyRP8wazXED0shKimFIVgJXfK8/H/zyFM4d2we31+DW+avJK6mNdtPDKuSAZe3atSQkJOBwOLjhhht48803GTlyJMOHD6d///7Mnj2bsrIynE4njzzyCAUFBeTn57d5vDPPPJPHHnuMrVu34vV6+fDDD1mwYMFh9wGYM2cOycnJgUdubngi6UCXkMawiETM6L7JmE2QX1FPYWV9tJsjUZBs9VU4rnC7cYXwB2OGvetPfv1iWwnvryvAajbx3NXHMSYnudXtYmwWHv/xeI4fkEat08Oc9zdGuKWRFXLAMmzYMNasWcOyZcu48cYbueqqq9iwYQM2m43XX3+dLVu2kJaWRlxcHIsXL2bGjBlYLG2X1n7iiScYOnQow4cPx263c8stt/CTn/zksPsAzJ49m4qKisBjz549oZ5KUPyDbjWGRSRy4h1WjmmscqtuoZ6pt8NGitWC24A1VcFnDvY3+AoO3twvK1xNa8FdVk/lp3kUP7+eA/9YQ9Gz66hYtAtXQdtjN9vz7Bc7Abj8e/3bDFb8rI0F6QAWri8I1H/pjkIOWOx2O0OGDGHSpEnMmTOHcePG8cQTTwAwceJE1qxZQ3l5Ofn5+SxcuJCSkhIGDhzY5vEyMzN56623qKmpYffu3WzatImEhITD7gPgcDgCs5X8j3CwWnwBi6sbpBlFuhJ1C/VsZpOJ09N9v9fn5ZcEtU+5y827Rb6B2mekheee4Ge4vZS/s4OC/1tB5aLd1G8qxbmnioYtZVR9uofCx1dRMn8T3lpXSMetd3lYutU3iPayyf2C2ueYXokcPzANw4BPNhaGfC5dxVHXYTEMIzB+xS85OZnMzEy2bt3KihUrmDlzZrvHiYmJoW/fvrjdbl5//fWg9okEa+O8f9VhEYmscbkpACzdWtyja0/0ZD/pmwHAfwtKWVXZfsbi4R351Hi8DI+PYUpKfNja5XV6KHpmHdVL94HXwDEomZTzB5N+xQhSLhxCzKh0MEHdmiIOzP0WT2Xwy0xsO1CN0+MlNc7GkMZlKoKRkxoLwGsr94Z8Pl1FSAHLXXfdxZIlS9i1axdr167l7rvvZvHixVx22WUAvPrqqyxevDgwtXnatGnMmjWL6dOnB45x5ZVXMnv27MD3X3/9NW+88QY7duxgyZIlnHXWWXi9Xn7zm9900CkeHVtglpAyLCKRNHVEFg6rmW/3VvDXj7cpaOmBjkuOZ1ZWCh4Drl67k43VrXd3GIbB33YX8uJ+XybmD0P6hrVCctnrW3HurMDksJB+1UgyrxtLwgnZxI7KIOH4PmRcMZKsm8ZjSXbgLqqj5KUNGEFm6ctqfcFNr6SYkM7Bv5RFdy4FEFLAUlhYyBVXXMGwYcM444wz+Prrr1m4cCHTpk0DID8/nyuuuILhw4dz6623csUVVzBvXssFl/Ly8loMqK2vr+eee+5h5MiRXHDBBfTt25elS5eSkpJy9GfXAfwZFpcyLCIRlZUUwz3njgTgLx9t4fkvd0W3QRIVjw7LZUR8DAecbmas3MKcHflsr63HaxjUebx8VlrFxd/u4KEdvvvK7IF9ODktfGv21G0upe7bIjBDxk9GETsivdXt7LmJZF43BlOMFeeeKqq/OvxEEj9b4z2nwR3aH8lx9sOP++wOQhpO/cwzzxz2/VtvvZVbb731sNssXry4xfennnoqGzZsCKUZEWWzKMMiEi2XT+5HZZ2L/1u0mf9btJkzR/UmOyU22s2SCEqyWnh9whBu3rCbT0ureGJ3IU/sLsQMNP+tbDeZuG9IdtjXEKpa7OtySTihL44B7QyITY8lecYAyt/cRvWSvSSckI2pnQV1+6X5qjzvKa2l1ukmLshZT/3T4/h6Zyk3f39wUNt3RVpLqB1WszIsItFiMpm48dTBTOqfSq3Tw71vrVNNpB4ozWblP2MH8a9RAzg5NQG7yRQIVrLsVq7MTufzycPDHqx4qp04d/q6XBJO6hvUPvETe2GKseKpcOLcU9Xu9n2SY8hNi8XtNfh444GgPqPB7QlsO3lg6xmf7kABSzsClW41S0gkKsxmEw9dMAabxcTHmw5w39vrot0kiQKTycS5WSm8On4I208Zy5oTRrHxpNF8e8IoHh2Wy4BQquEeIede3zgRa1Yc1pTgPs9kNWPP8Q2ede5qf3yJyWTiggk5APz9k21BzVD997I8Smqc9EpyMGWwApYey98lpDosItEzrHcif/rROMD3y3lPafeu6CmHZzOb6O2wkWqzhnVw7cG8jbN9rGkx7WzZUsO2cgAq3t8V1PbXnDiAlDgbmwur+N3/1h92wPmqvDIeXbgJgNvOOCYwBqY76volAcNMg25FOoeZ4/vy5w+2kFday8mPfkr/9DiSYmwkx9pIirU2PtuaveZ7To61kRTT9H53/oUuHcPtdnPgwAFqa2txOBz06tULu90OEYqNUuLs/PEHY7n+pZX8e1kepTVO7jt3FL2TmwIlt8fLqyv38od3NtDg9vL9YZlcfFzXXTspGApY2qFpzSKdx/SRvfjXUl8V0N1HuG5KnN3SGMQ0BTtJgcCmZbCTFGMlOa7pvTh7aOvaSNdSUVHB559/ztq1a3E6m2qnmM1mhg8fzpQBx2IC3CWhVZN1HJNKw5YyUs4bFPQ+Z47qzaM/GMtdb67lvbUFfLC+kMmD0uiXFk9VvYvlO0s5UOWrgXby0Az+cdmxmNsZ0NvVKWBphwrHiXQe95w7kutOHURFrYuKOheV9Y3Pde7GZ9/3Te+5qWx8varBDUCt00Ot00N+RehrFFnNpqZg5qDMzcFB0MEBUFKMNfD7RDqfLVu28PrrrwcKocbGxpKUlERtbS1VVVVs2LCBTZs2McUylBFFObhL6rCmtz9jzev04NztW5zX3i+06rsXHZfL8D6JPPjORpbvKuWLbSV8QVPV37R4OzedNpifnDgwMN6yO1PA0o5AaX5lWEQ6hazEGLISQxtDAL4UenWDu0WA0zLoaR7s+N6vavaa22vg9hqU1jgprQm+cmlzCQ4rSTG+jE4wQU7z12Ntyu6Ey7Zt25g/fz5er5e+ffsybdo0+vXrh9lsxjAMCgsL+eSTT9iyZQtf2DYDEL+kD6mzhrR77JrlBRgNHixpMdj6Bl+51m9sTgqv3DCFbQeqG7Mq9cTZLQzvncTkQWk4rN2//oqfApZ22MzKsIh0B1aLmZQ4Oylx9pD3NQyDOpenKaBpzNw0D3haZHrqXYHMTkWdixqnB4DqBjfVDW72H0F2x2YxBYKZxFbG5hwc/IzOTiY1PvRz7Wlqa2t544038Hq9jB49mgsuuKDF4rsmk4nevXtzySWX8Mknn7BkyRK+sm6h9/IUYkekETMsrc1juwpqqPxgFwCJp+a0W4PlcIZkJYRUqr87UsDSjqbFDxWwiPRUJpOJOLuVOLuVPsmhF65ze7xU1rtb6bJqGeT4Mz2VzbI8FXUuPF4Dl8egpMZJSZDZnYwEO8tmn6FuqHZ88cUX1NbWkpmZyaxZs1oEK82ZTCZOP/10CgoKfOvkWXaQ9u8kUi4cStz4zEOyX/XbyiidtxnD6cUxKJn443pH4nS6NQUs7VClWxE5WlaLmbR4O2lHkPEwDINap6cpqKltCmYOzvJU1rkornayZk85xdVO9GfW4Xk8HlavXg3AGWecgdV6+FuiyWRi+vTpbN26lTxLETX1dRj/3Uz10n3EjkzHkuzAW+OifnMpDTt8NVdsfRNIu2zEUWVXxEcBSzus6hISkSgymUzEO6zEO6xk0352Z3tRNWf8+TMSHVZN4T4MV4OHffv2U1tTiyPGwdChQ4PaLzMzk969e1NQUED5OCvxG8y49lXj2lfdckMzxB/fh+SzB2LuAev8RIIClnY0dQkpwyIinV9ZY5eRxq8cqrK4jm8/3sPOb4upKvWNI0o3nYAt2cn+zRXkjEgNamBzdbUvOFlZvpGJd15L3XdFOPOq8NS4MMdYsPdNJHZsBtbU0AeHS9sUsLTD/xeKW5VuRaQLKFXA0qq1i/fyxWvb8By0CrLZsOIpt/L2X9cw+NhMTr9yBPaYw98a/QFLYWEhlngbCVOyYUrYmi6NFLC0wz+33eM1MAxD0wpFpFMrq/UFLGlxtii3pPNYuXAXy97aAUDfY1IYP60ffQYns2nLRv736iIyrEMxipLZvqqI6rIGZv5yArbDdOMkJydTUVFBTk5OpE5B0FpC7fJPawZlWUSk8yutcQHKsPjt2VgaCFYmnz+Imb+cwIAxGTjibPTqnYXbVkOpYwPn3z4OR5yVwp2VLH1162GP6XD4Fj6cMkVplUhSwNIO/xgW0MBbEen8ygMZFgUshtdgySu+4GPUKX2ZdPaAFlnyrKwsEhIScDqdlDfkc9Z1owHYsGQ/xXurWj1mfn4+Bw4cwGQyMWDAgLCfgzRRwNKO5gGLqt2KSGdXojEsAXu3lFGWX4M9xsKUWYeu42M2m5k4cSIAH3/8MVmDEhgyMQuAtYv3HbK91+vlgw8+AGDUqFHEx8eHsfVyMAUs7WjRJaQMi4h0ciXVvrVwMhIUsOxe61t3Z8jELBxtjOmZMmUKiYmJlJaW8tprr3HM93wBy661xRhG0+98r9fLwoUL2blzJ1arle9///vhPwFpQQFLO8xmE/56P25NbRaRTs4/Sygt3hHllkRfSWNtlN6DU9rcJiYmhh/+8IdYLBa2bNnCe5+9DkBthZPK4jq8Xi+7du3ihRdeYPny5QCcf/75pKenh7390pJmCQXBajHjdHtxadCtiHRyxdW+gCVdGRbqGwcgxyUd/lr079+fyy+/nFdffZWi4kIyGQbAc3PnUWstxOn0XVObzcZ5553H2LFjw9twaZUCliDYzCacKMMiIp2bYRiU1DR2CSnDgtXm60RwNXja3XbgwIHcfPPNLP18CdsW+F4b/ekiUiq244yNhZEjGHL99WQpWIkadQkFwb94mBZAFJHOrNbpod7l+8MqTRkWkjPjgKauofZYCwro86yvS8jscZKdv4742lpSS0pIXbKUksuvIP/+B/DWh77athw9BSxB0AKIItIV+MevOKxm4rV+DX2HpQCwfdWBFgNoW1O3dh27Lr6EPVVJAGQm1NHvX/9kwKuv0PexP5M4bRoA5f/9L3k/vRZvXV1Y2y6HUsASBC2AKCJdQXHjDKH0eLuqcgODJmRhc1goK6hly/LCNrdzl5Wx96abqK832NfvDADGXXoCCSedSOyYMSSdfTY5f/sr/Z57FnNiInUrV1LwwANH1KaVFTX8evMeTlu+idFL1zFl2QauX7+L94vK8bYTVPV0CliC4C/PrwUQRaQz8w+4zUjU+BUAR6yVY8/sB8Dn87e0WQyu+G9/o6GknA0Tb8ZljiE9J4HBjfVYmoufMoXcJ/8BZjMVC96mpnHWUDAqXG6uW7+Lc1Zt5aX9JWyqqafY5WZnnZMFB8r5ybpdnL1yKztqG47sZHsABSxB8HcJeTRLSEQ6saYaLApY/CZM70+fIck469y88adVrF+yD0+zPz49FRXsXrSClRNupzSmHzaHhWk/GYnZ3HqGKu6440i56EcAlD7/QlBtKHO5mbV6G28fKMdigh/3TuPFMQP5+LhhvDZ+MDf3yyLRYmZNVS3nrNzCxmp1N7VGs4SCoEG3ItIV+KvcpqvKbYDFauacm8by3ty17N9azuKXN7PsrR1kDUjCajNTvK2QyjG/ACAm3sbZN44hvW/CYY+ZdvnllM//L9VLluCtq8McG9vmtoZhcPOG3WysqSfLbuWFMYOYkBTXYpuTUhO5NieDq9fu5NuqOq5cu5NPjhtGolXjkJpThiUIVrMG3YpI51dU1TiGRRmWFhxxNmb+Yjwn/nAIcUl26mtc5K0vYceaIiqrzZi8bvrHHeDi+46nz5CUdo9nHzzY94XLRd2aNYfd9r3iCj4prcJhNjF/3OBDghW/Pg47/x03mNwYO3vqnTyxu+0xNz2VMixBsFk06FZEOj9/hkVl+Q9ltpgZP7UfY7+fQ+GuKsrya/C4vTQsmIf9w3n0/eUtxCcHF+g1H9Bc/uabxB9m1ean9hQBcGNuFiMT2s7EAKTYrDw4tC9Xrd3JC/uKuWNAb2Ityiv46UoEwb8AogbdikhnVlylMSztMVvM9BmczMiTshlzWg7ZjlJs7joMt/uIjmdJaLv7qMjpYnlFDQBX980I6njT0pPo67BR5fHyRXlw9WN6CgUsQfAvgOjWoFsR6cQCVW4VsATNlp0NgHPnzqD3MdxuzHG+rp3USy9tc7t1Vb7Bs0PjHPR2tL744sHMJhMDY33/fouKK4JuU0+ggCUIyrCISFdQUu1f+FBdQsGKPfZYAKqXLMFwuYLap3b5cry1tZiTk7EPHNjmdsUuX9Ym2xHav4c/s/LS/pKQ9uvuFLAEwaoxLCLSyXm8BqW1GsMSqvjjj8OSmYGnpITy119vd3vDMCh++p8AJJ09A5Ol7Zk81saxLq4QC8I52phS3dMpYAmCTbOERKSTK6914r8vpirDEjST3U7Gz64D4MD//Yn6LVsOu33ps89Ru2wZJrud9J/+9LDb5sT4/h221da3uzRAc6ekJgLw+yHZQe/TEyhgCUJTl5AyLCLSOfnXEUqOtQVmNkpwUi+9hLhJk/DW1JB35VVUffLJIQGGt66OA3/+Mwf+7/8AyPrVr7Dn5Bz2uKMTYok1mzjgdLO6qjaotlS7PSxt7BI6Pvnw9WB6Gk1rDkJTl5AyLCLSOfnL8qtoXOhMVis5f/8bedddT/1337H3pptxDB9O/JQpWJISce7dS/Wni/GUlgKQfv31pF5xebvHjbWYOTszhdcLy3hidyEvjBnU7j7/2ltErcfL4FgH4xIPPw26p1HAEoSmwnHKsIhI5+TPsKRr/MoRsaSk0P/FFyj+xz8ofeFFGjZtomHTphbb2LKzybrztyRNnx70cW/t34sFB8pYVFzJ8/uKDzu9eXl5NY/t8hWMu2Ngby1geRAFLEGwalqziHRypY1TmjVD6MiZY2LIuuMO0q65hupPF9OweRPe2los6enETZxI/JQpmKyh3TaHxcfwm4F9eHhHPndu2Uthg4tb+/dqURDOaxi8WlDG7K17cRoGMzKSuSArpYPPrutTwBIE/+KH6hISkc7KX+U2LV41WI6WNTWVlAsv6LDj/bxfFiVON0/tLeIvuwt5cX8JZ6QnkhNjp9Tl4bPSSnbW+f79Tk1N5O8j+ym70goFLEHQoFsROVJFVQ3sK68jKcZKYoyNpFgrjjAsauevwaIpzZ2PyWTid0P7cmxyHL/ftp99DS5eKShrsU2ixcyt/XtxY25WYBiCtKSAJQhNXULKsIhI8KrqXZz+p8VUNbQs++6wmkmMsZEYYyUpxkpSrI2kWBvJsTaSYnzPybG+4Obg1xJjrIGJAM2V1qhoXGc3MyuVczJSWFpexTcVNZS4PCRazIxOjGVqWhLxWp35sBSwBKGpS0gZFhEJXl5pLVUNbswmiLdbA4FLg9tLQ3UDxdUNR3TcBEdToJPYmLn5bq+vjLsCls7NajZxWloSp6UlRbspXY4CliD4/5pRl5CIhMKf9TimVyILf3EKHq9BdYObqnoXlXW+56p6N5X1LirqfI/KOnfT1/UuKuua3qt1egCobnBT3eBmf0X9IZ+ZmxYX0XMUiRQFLEFQpVsRORL+cSX+qcYWsynQtUNq6MdzebyBAKayvlnAU+d7Tk+wMyE3pQPPQKTzUMASBGVYRORIdPTMHZvFTHqCg3Stxiw9kOo3B8Gqac0icgRKGseoqPqsyNFTwBIEmwrHicgRCFSfVcAictQUsATBYvbXYVGGRUSCF+gSUm0UkaOmgCUI/mnNHmVYRCQETV1CGnMicrQUsARBg25F5EhoQUKRjqOAJQhWTWsWkSMQmNasMSwiR00BSxBsjRkWVboVkWA1uD2ByrbqEhI5egpYgtC0+KEyLCISHH93kNVsIilWJa9EjpYCliBYNa1ZRELk7w5Ki7djMmn1XZGjpYAlCDYVjhOREJUEBtyqO0ikIyhgCYJmCYlIqEprVOVWpCMpYAmCFj8UkVAdvPChiBwdBSxBsGqWkIiEqGnhQwUsIh1BAUsQArOElGERkSD5q9xmaAyLSIdQwBKEQOE4ZVhEJEilyrCIdCgFLEHQtGYRCVVxtQIWkY6kgCUImtYsIqHyZ1gyNOhWpEMoYAmCBt2KSKj8Y1jSVJZfpEMoYAmCfwyLBt2KSDDqXR5qnB5A05pFOooCliBo8UMRCYV/SrPNYiLRoXWERDqCApYg+Kc1u70GhqGgRUQOr9RfNC7eoXWERDpISAHL3LlzGTt2LElJSSQlJTFlyhTef//9wPuFhYVcffXVZGdnExcXx1lnncXWrVvbPe7jjz/OsGHDiI2NJTc3l1/+8pfU19eHfjZhYjM3XSbNFBKR9hTX+MevqDtIpKOElKvMycnhkUceYciQIQC88MILzJw5k9WrVzNy5EhmzZqFzWZjwYIFJCUl8dhjjzF16lQ2bNhAfHx8q8d8+eWXufPOO3n22Wc54YQT2LJlC1dffTUAf/nLX47u7DqIP8MCvm4hmyWKjRGRTq9UZflFOlxIAct5553X4vuHHnqIuXPnsmzZMmw2G8uWLWPdunWMGjUKgCeffJKsrCzmzZvHtdde2+oxv/rqK0488UQuvfRSAAYMGMAll1zC8uXLj+R8wqJ5wOLyeolFEYuItK1ECx+KdLgjHsPi8XiYP38+NTU1TJkyhYYG3w9oTExMYBuLxYLdbmfp0qVtHuekk05i5cqVgQBlx44dvPfee5xzzjmH/fyGhgYqKytbPMKlRZeQBt6KSDv8g27TVZZfpMOEPHx97dq1TJkyhfr6ehISEnjzzTcZOXIkLpeL/v37M3v2bJ566ini4+N57LHHKCgoID8/v83jXXzxxRQVFXHSSSdhGAZut5sbb7yRO++887DtmDNnDr/73e9Cbf4RMZtNmExgGCoeJyLtK1GVW5EOF3KGZdiwYaxZs4Zly5Zx4403ctVVV7FhwwZsNhuvv/46W7ZsIS0tjbi4OBYvXsyMGTOwWNruQlm8eDEPPfQQTz75JKtWreKNN97gnXfe4Q9/+MNh2zF79mwqKioCjz179oR6KiHxZ1lcGnQrIu1QlVuRjhdyhsVutwcG3U6aNIlvvvmGJ554gqeeeoqJEyeyZs0aKioqcDqdZGZmMnnyZCZNmtTm8e69916uuOKKwBiXMWPGUFNTw3XXXcfdd9+N2dx6TOVwOHA4IpdutVpMOD3gUZeQiLSjJLDwobqERDrKUddhMQwjMH7FLzk5mczMTLZu3cqKFSuYOXNmm/vX1tYeEpRYLBYMo3PVPFG1WxEJVlNZfmVYRDpKSBmWu+66ixkzZpCbm0tVVRXz589n8eLFLFy4EIBXX32VzMxM+vXrx9q1a7ntttuYNWsW06dPDxzjyiuvpG/fvsyZMwfwzTx67LHHmDBhApMnT2bbtm3ce++9nH/++YftSoo0VbsVkWA53b4/bGJVA0Gkw4QUsBQWFnLFFVeQn59PcnIyY8eOZeHChUybNg2A/Px8br/9dgoLC+nTpw9XXnkl9957b4tj5OXltcio3HPPPZhMJu655x727dtHZmYm5513Hg899FAHnF7H8U9tdmnQrYiISMSZjM7U73IUKisrSU5OpqKigqSkpA4//omPfMK+8jreuvlExuemdPjxRaT7mPD7DyirdbHoF6cwrHditJsj0qkFe//WWkJBsvnXE1KGRUQOw+M1KK9zAZAab4tya0S6DwUsQbI2jmFxaQyLiBxGea0Tf946NU6DbkU6igKWIPlnCbk1S0hEDsNfgyU51hYYrC8iR08/TUHSLCERCUaxFj4UCQsFLEHSLCERCYY/w6KFD0U6lgKWIDV1CSnDIiJtK61R0TiRcFDAEiRrY+0YBSwicjgqyy8SHgpYgmTVtGYRCYK6hETCQwFLkDToVkSC0ZRhUcAi0pEUsARJix+KSDD8Cx9qlpBIx1LAEiRlWEQkGKXKsIiEhQKWIGlas4gEo8Rfh0WDbkU6lAKWIGmWkIi0x+3xUlrrC1gyEpVhEelICliCpMUPRaQ9pY3rCJlMkKZ1hEQ6lAKWIDV1CSnDIiKtK65qHL8SZw8smCoiHUM/UUFq6hJShkVEWlfcOEMoI0HjV0Q6mgKWIAVK8yvDIiJtCAQsGr8i0uEUsATJn95Vl5CItEUZFpHwUcASJP+gW4+6hESkDcWNU5oVsIh0PAUsQfKPYXFpWrOItKG4ShkWkXBRwBIkLX4oIu0pCnQJaQyLSEdTwBKkpjosyrCISOsCXUKJyrCIdDQFLEFSl5CItMc/6DZTXUIiHU4BS5BU6VZEDsfrNQILH2oMi0jHU8ASJE1rFpHDKa9z4WnMwKZrDItIh1PAEqRA4ThNaxaRVvi7g1LibNhUll+kw+mnKkj+X0AadCsirdGUZpHwUsASpKbFD5VhEZFDaUqzSHgpYAlSU5eQMiwicihVuRUJLwUsQWparVkBi4gcSusIiYSXApYgqdKtiByOfwxLporGiYSFApYgadCtiBxOscawiISVApYg+cewuDStWURaoTEsIuGlgCVIVmVYROQwijStWSSsFLAESaX5RaQtTreXwqp6ALJTYqPcGpHuSQFLkLT4oYi0pbCyHsMAu9WsMSwiYaKAJUjKsIhIW4qardJsMpmi3BqR7kkBS5A0hkVE2lJe6xtwmxav7IpIuFij3YCuQrOERKQtpTUuAFKjHLAYHgPnvio8pb7xNNb0WGzZCZgsyvpI16eAJUhNheOUYRGRlspqGjMscbaofL7h8lL1+V6qv9yPtzF48jMn2Eg4sS+JJ/fFZFVSXbouBSxBal6a3zAM9VOLSEBxjW8MSzQyLO6KBkqeW4+roAYAc5wVW+94DANcBTV4q11ULtpF3doiMq4ehSVJ066la1LAEiRbs5Sq22u0+F5EerYDlb6ApXdSTEQ/11vrovifa3EX12FOsJFy7iBix2QGuoAMj5fa74qpeGc7rv01FP1rLVk3jccco1/90vUoPxgk/6BbAI+mNotIMwUVvjEjvSIcsJS/swN3cR2WFAdZN48nbnxWi/EqJouZ+AlZZN08AUuyHfeBOire3RnRNop0FAUsQfIPugWt2CwiLfmLxkUyYHEV1lC76gAAaZcOx5ra9mdb02JIu2Q4ADUrCnAV1UakjSIdSQFLkFoELKrFIiLN+LuEekVwfEjNykIAYkal4+iX1O72jgHJxAxLBQNqVx4Id/NEOpwCliBZlGERkVZUN7ipbnADkc2wNGyvACBubEbQ+8SOy2zctzwcTRIJKwUsQTKZTIEsi6Y2i4hfYaWvOyjRYSXeEbnBrO6iOgBs2QlB72NN8wVUzj1VGPrDS7oYBSwhCNRiUfE4EWnkD1iyIjxd2HB5ADA7LMHv1Kwcg8msmY7StShgCUGgFosyLCLSyB+wRHqGkDnWl83xVLva2bKZZr+7DEO/x6RrUcASAv84Fo1hERG/kmpflduUCFe5tfaKB8CZVxn0Ps78agAcQ1JU/FK6HAUsIbCpS0hEDlJZ7xtwmxIX2Sq3McNSAahZURhUtsTwGtSuaJxZNCwtrG0TCQcFLCGwaNCtiBykpNo3pTkjwmX54yf2wmQz49pbHajHcji1Kwpx5ddgsluIOzYrAi0U6VgKWELQfD0hERGAqsYMS0KEy91bEu0knp4LQNmb26jfUtbmtnWbSil7exsASWf0wxIfnUUaRY6GFpQIgX+WkEddQiLSaG+Zr2psTmpcxD878dRcnHlV1G8spfi5dcQf35v472Vj6+Vri6ughpqv8qlZUQAGxI5KJ+HkvhFvp0hHUMASAtVhEZGD5TeuI5SdEhvxzzaZTaRfNoLyBdup+aaAmq99D/xTlptlg+Mn9yblvMGazixdlgKWEKhLSESa83oNiqp8Y1iyEiNbh8XPZDWT+oOhxE3IpGrpfhq2lmG4fFlgk82MY2gqiSf3xTEwOSrtE+koClhC0FQ4TgGLiEBZrTPw+yAjIToBi59jUAqOQSkYXgNPpRNMvnEuyqhId6GAJQRNXUIawyIiUNQ4Qygt3o7d2jnmMJjMJqwp0Q2eRMKhc/yEdRFWi7qERKRJaY2vaFxahKc0i/REClhCoDosItJcWY2vLH5ahIvGifREClhCoEq3ItJcaa0vw5KquiYiYaeAJQQWLX4oIs2UVqtLSCRSFLCEwGb2F45TwCIivllCAKnqEhIJOwUsIfCPYXGpS0hE0KBbkUjStOYQ2BpnCSnDItIFGQbs/Aw2vw/FW8HrhpRcGPR9GH4u2GJCPqQ/wxLplZpFeiIFLCEIZFg0hkWkaylcDwtuhv2rD3nLWPVv9jCYzQlTOVDmwllXR1xKCtnHjGDUqVNJy2577Z3KxoUPk2M16FYk3ELqEpo7dy5jx44lKSmJpKQkpkyZwvvvvx94v7CwkKuvvprs7Gzi4uI466yz2Lp162GPedppp2EymQ55nHPOOUd2RmGkxQ9FuqDtn8K/pvqCFXsCHHsVnP93uOApKsfdyKv7JvHqpmy+W7GBgu1bKd2/l70b1rH8rVd5/vYb+fjZ/4fb6Wz10FX1vmnNiRFeqVmkJwrppywnJ4dHHnmEIUOGAPDCCy8wc+ZMVq9ezciRI5k1axY2m40FCxaQlJTEY489xtSpU9mwYQPx8fGtHvONN97A2eyXQUlJCePGjeNHP/rRUZxWeFiVYRHpWkq2w3+vAFctDDoNLvwnJGT53tq3h1f+8Q61VbFYLSZGJu6nf3wZsVN/S0XcYLZ+/QU7Vn3DmkXvUJy3iwvvfABbTMtuI3/Re6+h3wki4RZSwHLeeee1+P6hhx5i7ty5LFu2DJvNxrJly1i3bh2jRo0C4MknnyQrK4t58+Zx7bXXtnrMtLS0Ft/Pnz+fuLi4Thmw+Kc1awyLSBfx7h3grIJ+J8Clr4DVV7LeWV/HW4/+ntqKcjL6DWDmr+4hZdXj8PVcWP8ncm9dzejTprJrzUr+9/gf2btxHR/+6x+cfcsdLQ5f5/QAEGdXhkUk3I54lpDH42H+/PnU1NQwZcoUGhp8a2rENPsLxGKxYLfbWbp0adDHfeaZZ7j44ovbzMhEU6BwnNYSEun89q+GHZ+C2QYXzA0EKwBfv/kK5QX5JKZn8qN7HyKlV2+Y9jtIHQA1B+DbeQAMGD+RC35zHyaTmY1LPiVv3bctPqKs1tcllBqnMSwi4RZywLJ27VoSEhJwOBzccMMNvPnmm4wcOZLhw4fTv39/Zs+eTVlZGU6nk0ceeYSCggLy8/ODOvby5ctZt25dm9mY5hoaGqisrGzxCLdAaX5lWEQ6v/Vv+Z5HnOcLRBq5GupZs+hdAL7/k+uIS0r2vWF1wPHXN+77ZmD7nJGjGTd9BgDf/O+NwOt1Tg91Ll+GJVXTmkXCLuSAZdiwYaxZs4Zly5Zx4403ctVVV7FhwwZsNhuvv/46W7ZsIS0tjbi4OBYvXsyMGTOwWCxBHfuZZ55h9OjRHH/88e1uO2fOHJKTkwOP3NzcUE8lZDYtfijSdexd4XseMrXFy7vXfouzrpakzCyGTJzccp+h03zPecug2eD6Y2ec79v3u9U01NYCTVOarWYTiQ51CYmEW8gBi91uZ8iQIUyaNIk5c+Ywbtw4nnjiCQAmTpzImjVrKC8vJz8/n4ULF1JSUsLAgQPbPW5tbS3z588PKrsCMHv2bCoqKgKPPXv2hHoqIdPihyJdSNV+33Nay98/hTu2AdBv9DhM5oN+BfozMYYHCtc1vdynL5hMGF4v+Vs2As2q3MbbMZlMiEh4HXWlW8MwAuNX/JKTk8nMzGTr1q2sWLGCmTNntnucV155hYaGBi6//PKgPtfhcASmV/sf4dZUml9jWES6qpryUgCSMrPa2fKgP0waZwKtXvQO0LRSs8aviERGSHnMu+66ixkzZpCbm0tVVRXz589n8eLFLFy4EIBXX32VzMxM+vXrx9q1a7ntttuYNWsW06dPDxzjyiuvpG/fvsyZM6fFsZ955hlmzZpFenp6B5xWePhnCbnUJSTS+SVmQ+kOKN0J/U8IvGxu/Dn2tjZ4vmyX79lkhl5jWj2s1eYbr1KqdYREIiqkgKWwsJArrriC/Px8kpOTGTt2LAsXLmTaNF+/b35+PrfffjuFhYX06dOHK6+8knvvvbfFMfLy8gK/MPy2bNnC0qVL+eCDD47ydMIrUDhOXUIinV/ORNi9FLZ/DBMuC7ycmJ4JQFn+vkP32faR77nfFGj2e8owDGKTkqmrrGDS+RcCUF6rdYREIimkgOWZZ5457Pu33nort95662G3Wbx48SGvHXPMMRhdoPCSVYsfinQdI2fBF0/Ahrd9mZPG8SnZxwwHYPfaNbhdLqy2xi4ddwN8/VTTvs0UbNtCXWUFVoeDzP6DgKaFD7WOkEhkaLXmEFi1+KFI19H3WF91W68L3rrJF5AAfYePIiEtnfqqStZ90iyr+9EDULYT4rNg/KUtDrV8wWsADD1uSiDAKQus1KwxLCKRoLl4IbB2ollCxXXFvLvjXVYWrqSsqoJexYPJqR1CX1s/+qT1ImtAIgPGZmDXGifSk53zGDx1Kuz+Av7zY7jwacwJWRw/84d88txTLJn3PDnHHEPGpmd8VW4Bzn0MHAmBQ6z79EO2ffMVJrOZ42f+MPB6U9E4ZVhEIkF3sxD4x7C4o9gl5PF6eHbdszz13VM0uJ2MLjiZSXt+SIzHVxn4AE4O4JvibY+xMPHsAYyf2g+zWdMupQdKHww/fgnmXeKrevvXCTDmh4zLnsiWfr3Ym1fIK/fcyow+GxmYAEx/0FdoDvC43ax89y2WznsRgO9d+GMy+g0IHLpMY1hEIkoBSwiinWFxe9389vPf8sHuDzB7zfww71Yy8n396ZZkLxW997Khfi0xzngGVowhsTadr97YTv62Cs782SistuAK+Il0K4O/D9d+BAtuhvw1sPJ5zCuf53yHlddjRlNYn8gbe0bTJ6cX/femEvPuAiqLCtm2YhmVRQcAGHvGWUz5wSUtDusfw6IMi0hkKGAJgdUc3Uq3f139Vz7Y/QE2s41bax+mJt+O2WripB8OZdQpfTGbTeyq2MUvF/+SL8veYkrlWRy7dQa7vitm8cubmXr1yKi0WyTqeo+Gn30KOz+DLQuheAuxXjc/npDDF7sTWb1iC/l7C8nfO7/FbrFJyZx8yVWM/v60Q4rDlfu7hJRhEYkIBSwhiGaX0ObSzTy/7nkA7uv3R/bNs4AJzrpuDAPHZgC+5QreeOMNNm3ahNPsZPfgXaT+NI7+609l87IChkzMYsCYjMAxr7/+ep5++mn+8pe/8Itf/CLi5yQSUWazL9sy+PuBl2zAacBx5WVsXf4VB3Ztx1lXR1xyMn2HjWTQxOOx2R2tHs6fYUlThkUkIhSwhCCQYYlCl9AL61/AwGB6/+mwKgMoY/TJfQPBCsBnn33GzTffzHHHHcfyfcu57Te38fj9c3jzsXPZ+WUlK97bFQhY3nrrLb7++muys7Mjfi4inU18Sirjp58d9Pb1rqaFD1M0S0gkIhSwhCBaqzW7vC4+zvsYgB/nXsY388sAmHBmvxbb+SsOA4wcOZJ5v5jHhz/5kO+8n5JknkThzkoqi+uoaijllltuYdGiRZxzzjmROxGRbkILH4pEnuqwhMBmiU7AsrNiJ7XuWhJsCaRV9gUgPSeBpPTYNvcxmUwMixsGwD5bHr0G+NZa2re1jCuuuIJf//rXjBo1KvyNF+mGAgNutfChSMQoYAlB02rNkR3DUlRbBEB2QjY1pY2/KHvFHXYfwzB47U+vEXdMHIvdiynYUQHAXXc8gNVqbbcisYi0LTDgVgsfikSMcpkh8I9hiXSlWxO+QMnAwNv42aZ26qrccsstVOyqoN/spm6jvKItfLzmNTZtW6e/CkWOgqY0i0SeMiwh8M8SckU4w9IrvhcA+6r2EZPoizGry+rb3P7nP/85b7/9NtfNvQ5bmo2rR11NWnY82/PXUl1fTr9+/bBarVitVnbv3s0dd9zBgAEDInEqIt2CisaJRJ4ClhD4C8dFOsMyIGkAifZEat21FMXnAXBgVxXOOneL7QzD4JZbbuGNN97go48/YhObABiTMo6qknqOO2Yqixd9xZo1awKP7Oxsfv3rX7No0aKInpNIV1ZWoxosIpGmgCUE/sUPXRGe1mwxW3zTmYH/Fr5Eau84PG4v65fub7HdzTffzL///W/+85//sKZiDbv27sJeYydhW19cDR76ZPfi5DOOZ/To0YGHzWajd+/eDBs2LKLnJNKV+TMsGsMiEjkawxKCaGVYAK4adRULti3g832fM2XsDCiI45t3dzJwbAYpjQNw5871Ld522mmntdj3n2e+yKQB0xg/LbfdsS8i0r7iat/Kz2nxrReVE5GOp4AlBNGsdDsweSA3jLuBv6/5O3+quofrsx/GtT+GBY+v5uybxpKZm4hhGKwvWc8di+9gX/U+xlmOZ/qma6gqbiCrfyKjTul7yHF37doV8XMR6eqKqnwBS2aiAhaRSFHAEgKLKXoZFoCfjf0ZBbUFvLblNZ7r8yA/qLgdytJ4Zc5yrMfUsjP1O1ZULSPWlcbZVWfRv3AsVZ4GkjJiOOv6MVgs6gEU6Qj+DEtGgsawiESKApYQWKLYJQRgNpm573v3MSJtBE+seoJXR/wfp+64mEGl43BviieXKeQyJbC9AfQfk87pV4wgLkm/WEU6ij/DkqUMi0jEKGAJQbTqsDRnMpm4aNhFnDPoHD7c/SGrRqxix95PSN8zmOSKXsR6EkhIiCWzfyLDJvcme0hK1Noq0h01uD1U1vtm6GUkKGARiRQFLCFojFciXpq/NfG2eGYNmcWsIbOi3RSRHqWkumkdoeRYzRISiRQNaghBZ8iwiEh0+ac0p8RpHSGRSFLAEoI4hwXwZVhqGtztbC0i3VGF1hESiQoFLCFIirGRFOPrRdtXXhfl1ohINJQ1BiwpClhEIkoBS4iSG39JVSvDItIjNe8SEpHI0aDbENn85fndkS8eJxIJXqeTqkUfULN0Kc69e8EE9n79STjlFBLPOB2TrWdnFirq1CUkEg0KWEJkM0dnPSGRSKhesoT8++7HnZ/f4vW6FSupeOMNbP370ecPfyD++OOj1MLoK6tRhkUkGhSwhMhf4TLGpt406V7K5v+Xgt/9DgwDa1YWybNmETNyBHi91K1bT8WCBbh255H3k2vIfuQRks87N9pNjoryOo1hEYkGBSwhqnN5AMhKjIlyS0Q6Ts1XXwWClZSLLqLX7Dsxx8YG3k86+2wybrqJggceoPKdd9g/ezb2frnEjhsXxVZHR7l/DEusMiwikaQ0QYj8VRcM1CUk3YPhdJJ/731gGCT/4EJ6/+6BFsGKnyUhnuxH/0jimWeC203+vfdheDxRaHF0lWlas0hUKGAJkb9QlKF4RbqJykUf4Nq7F0tmBr3vvvuwxdBMZjO9H7gfc2IiDVu2UL1kSQRb2jmUa5aQSFQoYAlRU4ZFpHuoXLQQgNSLfow5Lq7d7a2pqSTPmgVA1aIPwtm0TqlcdVhEokIBS4j8f3waSrFIN1H/3VoA4k88Meh94k/wrQpes2xZWNrUWRmGERh0m6oMi0hEKWAJkT9druWEpDswDAN3UREA9tycoPcz2X0364OnP3d3VQ3uwFpiyrCIRJYClhA1de8rYpHuJaSsYQ/9719e48uuxNjMxNgsUW6NSM+igCVEgTEsPfQXtnQvJpMJa+/eALjy8oLez3D66hE5hg4NS7s6q/I634BbdQeJRJ4ClhBZGivdehSxSDcRO3YsANWfBz/jp/rzz337jh8fjiZ1Wv4pzcmx6g4SiTQFLCFqXEoIt0rzSzeRNGMGAOWvvIKnsrLd7d1FRVS8/b/Gfc8Ka9s6G/+UZmVYRCJPAUuIrP4Mi0bdSjeROPUM7IMG4SkvJ//++zG8bS/sabjd7L/7bozaWmLGjCFuypQItjT6/FOaU+OVYRGJNAUsIbKYfaNY1CUk3YXJaqXPgw+C1UrV+wvZ/6tftZppcZeWsveWn1Pz+RJMDgd9/vD7wxaZ645KGxc+TFZZfpGI01pCIQoELMqwSDcSd+wEsh95hP133knle+9T/cWXJJ09g5jhI8AwqF+/jsr33sdbU4PJbqfvX/5CzPDh0W52xH2xrRiAelfPW5JAJNoUsITIH7BoDIt0N8nnnoMtuw/5996Hc/t2yufNP2Qbx4gR9HnwD8SOGhWFFkafuTGj1C+t/YrAItKxFLCEyGr2F45TwCLdT9yxxzLo7QXUfPEF1UuW4tqzB0wm7P37k3DqKcRNnozJ3HN7kuvdvszK+NyU6DZEpAdSwBIi/19YbnUJSTdlslhIOOUUEk45JdpN6XT8XUF2a88N2kSiRT91IbJa/GNY2p5JISLdU73L93MfY9OvTpFI009diJoG3Ua5ISIScf4Mi8OqsvwikaaAJUQWkzIsIj1VRZ0q3YpEiwKWEAVmCWkMi0iPUuf00OD2/aGilZpFIk8BS4iaxrAoYBHpSfwLH1rNJhIcmq8gEmkKWEJkNilgEemJymp83UEpcbYeV+FXpDNQwBIiq7qERHokf4bF7TVYuC4fQ7WYRCJKAUuILFr8UKRHcjTWXimvdXHDv1fxxbaSKLdIpGdRwBIiS+MVU8Ai0rMc2y+Vf145KfC9ZgqJRJYClhBZlWER6ZFMJhMnDckIfD8gQ+sJiUSSApYQaVqzSM9VUtMA+Erza6aQSGQpYAmRP2DxKmAR6XFKqn0Db9Pj7ZopJBJhClhCpAyLSM9VWuMLWNLi7VFuiUjPo4AlRFazSvOL9FQlClhEokYBS4jMWvxQpMcqq2nqEhKRyFLAEiJlWER6rtJaf4bFEeWWiPQ8ClhCpDEsIj1XabU/YFENFpFIU8ASIovWEhLpsfwZllR1CYlEnAKWEFm0WrNIj+Ufw5IWp4BFJNIUsIRIix+K9Fya1iwSPQpYQqQuIZGeq2nQrQIWkUhTwBKiwGrNWlpepEdxe7xU1LkAjWERiQYFLCGy+seweBSwiPQk5XUu/H+npGilZpGIU8ASIrNJY1hEeiL/gNvkWBtWi351ikRaSD91c+fOZezYsSQlJZGUlMSUKVN4//33A+8XFhZy9dVXk52dTVxcHGeddRZbt25t97jl5eXcfPPN9OnTh5iYGEaMGMF7770X+tlEgH/QrVddQiI9isryi0RXSOuj5+Tk8MgjjzBkyBAAXnjhBWbOnMnq1asZOXIks2bNwmazsWDBApKSknjssceYOnUqGzZsID4+vtVjOp1Opk2bRlZWFq+99ho5OTns2bOHxMTEoz+7MFDhOJGeSTOERKIrpIDlvPPOa/H9Qw89xNy5c1m2bBk2m41ly5axbt06Ro0aBcCTTz5JVlYW8+bN49prr231mM8++yylpaV8+eWX2Gy+fuH+/fsfyblEhEWl+UV6JAUsItF1xB2xHo+H+fPnU1NTw5QpU2hoaAAgJiYmsI3FYsFut7N06dI2j/P2228zZcoUbr75Znr16sXo0aN5+OGH8Xg8h/38hoYGKisrWzwioSlgUYZFpCcp1cKHIlEVcsCydu1aEhIScDgc3HDDDbz55puMHDmS4cOH079/f2bPnk1ZWRlOp5NHHnmEgoIC8vPz2zzejh07eO211/B4PLz33nvcc889/PnPf+ahhx46bDvmzJlDcnJy4JGbmxvqqRwRBSwiPZMyLCLRFXLAMmzYMNasWcOyZcu48cYbueqqq9iwYQM2m43XX3+dLVu2kJaWRlxcHIsXL2bGjBlYLJY2j+f1esnKyuLpp59m4sSJXHzxxdx9993MnTv3sO2YPXs2FRUVgceePXtCPZUjojEsIj2TBt2KRFdIY1gA7HZ7YNDtpEmT+Oabb3jiiSd46qmnmDhxImvWrKGiogKn00lmZiaTJ09m0qRJbR6vT58+2Gy2FkHNiBEjKCgowOl0Yre3/svB4XDgcER+iXerMiwiPVJpja/bWwGLSHQcdTEBwzAC41f8kpOTyczMZOvWraxYsYKZM2e2uf+JJ57Itm3b8DYbxLplyxb69OnTZrASTeoSEumZSmt8VW4VsIhER0gBy1133cWSJUvYtWsXa9eu5e6772bx4sVcdtllALz66qssXryYHTt2sGDBAqZNm8asWbOYPn164BhXXnkls2fPDnx/4403UlJSwm233caWLVt49913efjhh7n55ps76BQ7lgIWkZ7Jn2FJj498ZldEQuwSKiws5IorriA/P5/k5GTGjh3LwoULmTZtGgD5+fncfvvtFBYW0qdPH6688kruvffeFsfIy8vDbG6Kk3Jzc/nggw/45S9/ydixY+nbty+33XYbv/3tbzvg9Dqef/HDijoX+8vr6JMcg6nxNRHpngzDaBp0m6AMi0g0mAyje5RsraysJDk5mYqKCpKSksL2OZ9uPsBPnvsm8H1avJ2BGfHYLWasFhMWs6lxnIsJkwlMgMnkK+nv+973ou91U+D95t/TuJ1vv6Nrb+MR8cdUTbFV0+v+lwLbHLxP4P2mxrS/bct9TM3ezExwMLJPy3+j1v4TtvU/02h169a3b+s/t/+/vXHQhv5j+48VeG5rv2bb2K0mkmPtpMbZSI2zkxRrC2TkpGurrHcx9oEPANj0h7OIsbU9kUBEQhPs/TvkQbc93ZRB6Vx9wgCW7Shh24FqSmucgb+8RJozmSApxkZqnI3kuKZAJjnW95wabwt8nRLX9JzgsCpr18mUVvt+xuPsFgUrIlGigCVEMTYLD5zvq+Rb7/KwuaCK/eV1uL0Gbq8Xt8fA4/X9nW4Yvr/YDcP3l3ngteZf0+yv9ubbN37vNQyO9N51cMah+edA02f4vj70veYvGM2+bWvbg49Fi88xcHkM3l2bT2pc6yvdmjj0REM999Zu9G0d4uCsU1vZIppniVp53/+ZDW4P5bUuymtdVDe4MQxf12FFnQtKaoM+B6vZREqcjZQ4OymxvufUOFvgNX9gkxJnIyXWF/ikxtl1Iw0jTWkWiT4FLEchxmZhXG4K43JTot2ULsMf7HV3TreXijoX5bVOymp9z+W1LspqnZTXHfR9Y5BTVuukwe3F7TUornZSXB1a5s5hNbcIZnxf+7M3vuAmJc5GanxTIJQSZ8OmlYfbVaaARSTqFLCIhIHdaiYz0UFmYmgzSuqcHsrrnJTVNAY1dc2DGn/w4//aSUWdi7JaFx6vQYPbS0FlPQWV9SF9ZoLD2qJLKpDRaRbUHPxeUowNcw8an6MqtyLRp4BFpBOJtVuItcfSJzk26H0Mw6CqwU1Fs4zNwZmbpuCnKbtTWe/CMKC6wU11g5u9ZXVBf6bJRIvxNymxh2Z0Dhm3E28n3m7pkuNz1CUkEn0KWES6OJPJRFKML+uRmxYX9H4er0FlYwanrNZFRWNmpylz0/h6bcssT43Tg2EQCIhCYbO0nEmV3BjcNH3dbNxOfFM3VrTH5zTVYFHAIhItClhEeiiL2URqvJ3UEG/CDW5P4/gcF2U1TWNymndXtcjy1Pnec7q9uDwGxdUNFFc3tP9BzcTaLIdmbZoHO81mXvkHKyfH2rB20Pickmp/hkVF40SiRQGLiITEYbWQlWghKzEm6H0Mw6DO5QkEMr6sTbNsTk2zLE+zbcrrfONz6lwe6io87K8IbXxOUoy12SyrluNxDh2zYycl3kZiK9PK/eOCeicrYBGJFgUsIhJ2JpOJOLuVOLuV7JTgx+d4vS3H5xw6ALnl2Bz/+1X1bgAq691U1rvJKw2+rf5p5cnNxuWs21cBQO+k4NsuIh1LAYuIdFpms4nkxu6dfunBj89xe7yNXVWtTy1va8xOvevgaeU1LY4bShtEpGMpYBGRbsdqMZOR4CAjIbQunPpm3VYHz7QamBFP3xCyQyLSsRSwiIg0irFZ6J1soXdy8ONzRCQyVOJSREREOj0FLCIiItLpKWARERGRTk8Bi4iIiHR6ClhERESk01PAIiIiIp2eAhYRERHp9BSwiIiISKengEVEREQ6PQUsIiIi0ukpYBEREZFOTwGLiIiIdHoKWERERKTT6zarNRuGAUBlZWWUWyIiIiLB8t+3/ffxtnSbgKWqqgqA3NzcKLdEREREQlVVVUVycnKb75uM9kKaLsLr9bJ//34SExMxmUztbl9ZWUlubi579uwhKSkpAi3sGnRdDqVr0jpdl0PpmhxK16R1ui5NDMOgqqqK7OxszOa2R6p0mwyL2WwmJycn5P2SkpJ6/H+W1ui6HErXpHW6LofSNTmUrknrdF18DpdZ8dOgWxEREen0FLCIiIhIp9djAxaHw8H999+Pw+GIdlM6FV2XQ+matE7X5VC6JofSNWmdrkvous2gWxEREem+emyGRURERLoOBSwiIiLS6SlgERERkU5PAYuIiIh0et02YNmyZQszZ84kIyODpKQkTjzxRD799NNWty0pKSEnJweTyUR5eflhj3vaaadhMplaPC6++OIwnEF4hOu6+BmGwYwZMzCZTLz11lsd1/AwCtc1uf766xk8eDCxsbFkZmYyc+ZMNm3aFIYzCI9wXJfS0lJ+/vOfM2zYMOLi4ujXrx+33norFRUVYTqLjhWu/ytPP/00p512GklJSSH9vHUW4bouDQ0N/PznPycjI4P4+HjOP/989u7dG4Yz6HjtXZOSkhLOOusssrOzcTgc5Obmcsstt7S7Ht727du54IILyMzMJCkpiYsuuojCwsJwn06n0G0DlnPOOQe3280nn3zCypUrGT9+POeeey4FBQWHbPvTn/6UsWPHBn3sn/3sZ+Tn5wceTz31VEc2PazCeV0AHn/88aCWRuhMwnVNJk6cyHPPPcfGjRtZtGgRhmEwffp0PB5PR59CWITjuuzfv5/9+/fzpz/9ibVr1/L888+zcOFCfvrTn4bjFDpcuP6v1NbWctZZZ3HXXXd1dJMjIlzX5Re/+AVvvvkm8+fPZ+nSpVRXV3Puued2iZ+h9q6J2Wxm5syZvP3222zZsoXnn3+ejz76iBtuuKHNY9bU1DB9+nRMJhOffPIJX3zxBU6nk/POOw+v1xupU4seoxsqKioyAOPzzz8PvFZZWWkAxkcffdRi2yeffNI49dRTjY8//tgAjLKyssMe+9RTTzVuu+22MLQ6/MJ5XQzDMNasWWPk5OQY+fn5BmC8+eabHXwGHS/c16S5b7/91gCMbdu2dUTTwyqS1+WVV14x7Ha74XK5OqLpYROJa/Lpp58e0TWMpnBdl/LycsNmsxnz588PvLZv3z7DbDYbCxcu7PDz6EihXJPmnnjiCSMnJ6fN9xctWmSYzWajoqIi8FppaakBGB9++GHHNL4T65YZlvT0dEaMGMGLL75ITU0Nbrebp556il69ejFx4sTAdhs2bOD3v/89L7744mEXXDrYyy+/TEZGBqNGjeJXv/pVYKXozi6c16W2tpZLLrmEv//97/Tu3Ttcp9Dhwv1/xa+mpobnnnuOgQMHdokVxSN1XQAqKipISkrCau3cS5tF8pp0JeG6LitXrsTlcjF9+vTAa9nZ2YwePZovv/wyLOfSUYK9Js3t37+fN954g1NPPbXN4zY0NGAymVoUm4uJicFsNrN06dIOP49OJ9oRU7js3bvXmDhxomEymQyLxWJkZ2cbq1evDrxfX19vjB071njppZcMwwj+L5unn37a+PDDD421a9ca8+bNMwYMGGBMnTo1jGfSscJ1Xa677jrjpz/9aeB7ukiGxTDCd00MwzD+8Y9/GPHx8QZgDB8+vEtkV/zCeV38iouLjX79+hl33313B7c+PMJ9TbpihsUwwnNdXn75ZcNutx/y+rRp04zrrruuo0+hw7V3TfwuvvhiIzY21gCM8847z6irq2vzmAcOHDCSkpKM2267zaipqTGqq6uNm2++2QC6xDU5Wl0q/H/ggQcOGfB68GPFihUYhsFNN91EVlYWS5YsYfny5cycOZNzzz2X/Px8AGbPns2IESO4/PLLQ2rDz372M6ZOncro0aO5+OKLee211/joo49YtWpVOE45KNG+Lm+//TaffPIJjz/+eJjOMHTRviZ+l112GatXr+azzz5j6NChXHTRRdTX13f06Qats1wXgMrKSs455xxGjhzJ/fff35GnGZLOdE06k856XQzDiNo4uY68Jn5/+ctfWLVqFW+99Rbbt2/n9ttvb/PzMzMzefXVV/nf//5HQkICycnJVFRUcOyxx2KxWMJ9+tEXvVgpdEVFRcbGjRsP+6irqzM++uijQ/r5DMMwhgwZYsyZM8cwDMMYN26cYTabDYvFYlgsFsNsNhuAYbFYjPvuuy/oNnm93kP6WSMt2tfltttuC/wV4X8AhtlsNk499dRwn36ron1NWtPQ0GDExcUZ//nPfzr0XEPRWa5LZWWlMWXKFOOMM8447F+UkdBZrolhdK4MS7Svi3+cS2lpaYvXx44dG9LPXUfqyGvSmiVLlhiAsX///qDa4v9/0qtXL+PRRx89qnPrCjp3p/FBMjIyyMjIaHe72tpagEP6Sc1mc2Ak9euvv05dXV3gvW+++YZrrrmGJUuWMHjw4KDbtH79elwuF3369Al6n44W7ety5513cu2117Z4bcyYMfzlL3/hvPPOC+lcOkq0r0lbDMOgoaEhpH06Ume4LpWVlZx55pk4HA7efvttYmJijuRUOkxnuCadUbSvy8SJE7HZbHz44YdcdNFFAOTn57Nu3ToeffTRIzqno9WR16Q1RuPSfsH8jvC345NPPuHAgQOcf/757e7T5UU7YgqHoqIiIz093bjwwguNNWvWGJs3bzZ+9atfGTabzVizZk2r+7T2l83evXuNYcOGGV9//bVhGIaxbds243e/+53xzTffGDt37jTeffddY/jw4caECRMMt9sdiVM7KuG6Lq2hi4xhCdc12b59u/Hwww8bK1asMHbv3m18+eWXxsyZM420tDSjsLAwEqd2VMJ1XSorK43JkycbY8aMMbZt22bk5+cHHp39ZyicPz/5+fnG6tWrjX/+85+B2SWrV682SkpKwn1aRy2c1+WGG24wcnJyjI8++shYtWqVcfrppxvjxo3rFv9X3n33XePZZ5811q5dG7ifjBo1yjjxxBMDx2ntmjz77LPGV199ZWzbts146aWXjLS0NOP222+P+DlGQ7cMWAzDML755htj+vTpRlpampGYmGh873vfM9577702t2/tB2jnzp0GYHz66aeGYRhGXl6eccoppxhpaWmG3W43Bg8ebNx6661d4peKXziuS2u6SsBiGOG5Jvv27TNmzJhhZGVlGTabzcjJyTEuvfRSY9OmTWE+m44Tjuvi36a1x86dO8N7Qh0gXD8/999/f6vX5LnnngvfyXSgcF2Xuro645ZbbjHS0tKM2NhY49xzzzXy8vLCeCYdp71r8sknnxhTpkwxkpOTjZiYGGPo0KHGb3/723avyW9/+1ujV69ehs1mM4YOHWr8+c9/NrxebwTPLHpMhtGYgxIRERHppLrULCERERHpmRSwiIiISKengEVEREQ6PQUsIiIi0ukpYBEREZFOTwGLiIiIdHoKWERERKTTU8AiIiIinZ4CFhEREen0FLCIiIhIp6eARURERDo9BSwiIiLS6f1/GnFYET6WFloAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there were a total of 587.0 votes from 596 voting tracts (some outliers abstained)\n"
     ]
    }
   ],
   "source": [
    "print(\"Here is a plot of all plans with at least 15 votes. Vote number at plan center, circles=tract votes. Region\",\n",
    "     regionName[currentRegionNo])\n",
    "counter = 0.\n",
    "for planNo in range( len(planTLnos) ):\n",
    "    if planRegionNo[planNo] == currentRegionNo:\n",
    "        counter += len(planChoosers[planNo])\n",
    "        if len(planChoosers[planNo]) > 14:\n",
    "            plotPoly(countyGeom[mC])\n",
    "            for t in planChoosers[planNo]:\n",
    "                plotPoly(tractCP[t].buffer(0.01))\n",
    "            plotCenter(len(planChoosers[planNo]),districtPCP[planTLnos[planNo][0]].buffer(0.02) )\n",
    "        plt.show()\n",
    "print(\"there were a total of\",counter,\"votes from\",len(votingTractList),\"voting tracts (some outliers abstained)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e6266b3d-06cf-4b98-ac4a-b747d0351e24",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total voting tracts (incl abstainers), total votes, mC tracts = 596 588 360\n"
     ]
    }
   ],
   "source": [
    "votes = 0\n",
    "for planNo in range(len(planChoosers)):\n",
    "    if planRegionNo[planNo] == currentRegionNo:\n",
    "        votes += len(planChoosers[planNo])\n",
    "print(\"total voting tracts (incl abstainers), total votes, mC tracts =\",len(votingTractList),votes,len(countyTractList[mC]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "df1f64b4-a3f7-4f6e-91b3-2cf0157d3ddd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On to Toledo area\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county 47\n",
      "oh darn, the regional plan for tract 3098 generated a noncontiguous district.  nPlans still only 971\n",
      "working on tract 3100\n",
      "oh darn, the regional plan for tract 3096 generated a noncontiguous district.  nPlans still only 974\n",
      "oh darn, the regional plan for tract 3095 generated a noncontiguous district.  nPlans still only 976\n",
      "oh darn, the regional plan for tract 3069 generated a noncontiguous district.  nPlans still only 976\n",
      "oh darn, the regional plan for tract 3227 generated a noncontiguous district.  nPlans still only 976\n",
      "oh darn, the regional plan for tract 2991 generated a noncontiguous district.  nPlans still only 978\n",
      "oh darn, the regional plan for tract 2993 generated a noncontiguous district.  nPlans still only 978\n",
      "oh darn, the regional plan for tract 2973 generated a noncontiguous district.  nPlans still only 978\n",
      "oh darn, the regional plan for tract 3153 generated a noncontiguous district.  nPlans still only 978\n",
      "oh darn, the regional plan for tract 3153 generated a noncontiguous district.  nPlans still only 978\n",
      "oh darn, the regional plan for tract 3121 generated a noncontiguous district.  nPlans still only 979\n",
      "oh darn, the regional plan for tract 3004 generated a noncontiguous district.  nPlans still only 979\n",
      "oh darn, the regional plan for tract 3012 generated a noncontiguous district.  nPlans still only 982\n",
      "oh darn, the regional plan for tract 3157 generated a noncontiguous district.  nPlans still only 984\n",
      "oh darn, the regional plan for tract 2997 generated a noncontiguous district.  nPlans still only 984\n",
      "oh darn, the regional plan for tract 3199 generated a noncontiguous district.  nPlans still only 984\n",
      "oh darn, the regional plan for tract 3047 generated a noncontiguous district.  nPlans still only 985\n",
      "oh darn, the regional plan for tract 3114 generated a noncontiguous district.  nPlans still only 985\n",
      "oh darn, the regional plan for tract 3083 generated a noncontiguous district.  nPlans still only 985\n",
      "oh darn, the regional plan for tract 3028 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 2957 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 3127 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 3071 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 3138 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 2950 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 3084 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 3159 generated a noncontiguous district.  nPlans still only 987\n",
      "oh darn, the regional plan for tract 2996 generated a noncontiguous district.  nPlans still only 988\n",
      "oh darn, the regional plan for tract 2954 generated a noncontiguous district.  nPlans still only 989\n",
      "oh darn, the regional plan for tract 2961 generated a noncontiguous district.  nPlans still only 989\n",
      "oh darn, the regional plan for tract 3144 generated a noncontiguous district.  nPlans still only 989\n",
      "oh darn, the regional plan for tract 2983 generated a noncontiguous district.  nPlans still only 989\n",
      "all done creating regional plans for region number 0  =  NW\n",
      "we had a total of 20 32 jiggy and nonjiggy regional plans\n"
     ]
    }
   ],
   "source": [
    "# works OK - Lucas 10/24/22\n",
    "print(\"On to Toledo area\")\n",
    "mC = 47 #main county = Lucas'\n",
    "currentRegionNo = 0   #\"NW\"\n",
    "pairedCountyList = [86, 25, 61]  #Wood, Fulton, Ottawa\n",
    "altPairingList = [ [], [34, 85], [71] ]  #these are the counties the paired counties would link with if not drawn into a straddler \n",
    "ppC = -999  #a default flag to not draw a whole district in any neighboring counties\n",
    "ppC = pairedCountyList[0]  #primary paired county (e.g. Wood = 86)\n",
    "luringCountyList = [61, 34] #luring HDPoly's toward counties adjoining southwest and east corners of Lucas\n",
    "forcedTractList = [3115, 3068]  #for Lucas, we force all straddler HDPoly to have included either the SW or SE corner tract\n",
    "ppCmaxPop = countyPop[ppC] % avgDistrictPop  #the max population from the primary pairing county that can be used in a straddling district\n",
    "targetRemnantPop = avgDistrictPop * (countyDistricts[mC]%1.)  #the natural pop left after filling whole districts in main county\n",
    "luringList = []\n",
    "for c in luringCountyList:\n",
    "    for tt in countyTractList[c]:\n",
    "        luringList.append(tt)   #these tracts in nearby counties \"lure\" HDs which contain them to center straddler HDs\n",
    "forcedGeom = countyGeom[mC]   #default; we do not force any tracts to be in the original HDPoly's of straddler districts\n",
    "if len(forcedTractList) > 0:\n",
    "    forcedGeom = tractCP[forcedTractList[0]]\n",
    "    for T in forcedTractList:\n",
    "        forcedGeom = forcedGeom.union(tractCP[T])\n",
    "countyStraddlerList[mC] = get_straddlers(targetRemnantPop, countyPop[mC], countyTractList[mC], luringList, forcedGeom,\n",
    "                                         HDPoly, tractCP, tractPop3)\n",
    "mC_EnsnaredPop = 0.\n",
    "for t in countyTractList[mC]:\n",
    "    if t in countyStraddlerList[mC]:\n",
    "        HDtype[t] = \"straddlerMaker\"        \n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\"x\", label=\"generated a straddler HD\")\n",
    "        mC_EnsnaredPop += tractPop3[t]\n",
    "    else:\n",
    "        HDtype[t] = \"notAstraddlerMaker\"\n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\".\", label=\"not a straddler generator\")\n",
    "plotPoly(countyGeom[mC])\n",
    "plt.show()\n",
    "\n",
    "print(\"I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county\",mC)\n",
    "nJiggy = 0\n",
    "nNonjiggy = 0\n",
    "for t in countyStraddlerList[mC]: #for Lucas, the HDpop comes from mC=Lucas, then ppC=Wood, then a mop-up county\n",
    "    if t%20 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "    HDangle = [HDangle0[t],  HDangle1[t], HDangle2[t], HDangle3[t] ]\n",
    "    HDradius = [HDradius0[t], HDradius1[t], HDradius2[t], HDradius3[t] ]\n",
    "    HDtractList[t] = []\n",
    "    bigR = 4.*countyGeom[mC].area ** 0.5   #needs to be set big, as some city-based tracts may need to reach far into hinterlands\n",
    "    snappedTolerPop = 0.03*avgDistrictPop  #= countyPop[mC] / len(countyTractList[mC])\n",
    "    inCountyList = snapHD(t,targetRemnantPop, snappedTolerPop, countyTractList[mC],tractCP, tractPop3, HDangle, HDradius, bigR)\n",
    "    ppCList = []\n",
    "    if ppC != -999:    #i.e. there is a primary pairing county\n",
    "        ppCList = snapHD(t,    ppCmaxPop, snappedTolerPop, countyTractList[ppC],tractCP, tractPop3, HDangle, HDradius, bigR)\n",
    "    snappedHDpop[t] = 0.\n",
    "    HDtractList[t] = []\n",
    "    for tt in inCountyList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    iCP = snappedHDpop[t]\n",
    "    for tt in ppCList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    #print(t,r3(iCP),r3(snappedHDpop[t]),\"tract,inCountyPop, iCP+ppcPop\")\n",
    "    mopupPop = avgDistrictPop - snappedHDpop[t]\n",
    "    mopupCounty = pairedCountyList[1]\n",
    "    minDist = countyGeom[mopupCounty].distance(tractCP[t])  #pick the closest county to mop up the remaining pop to fill the district\n",
    "    for cc in pairedCountyList:\n",
    "        if cc != ppC and cc != pairedCountyList[1] :\n",
    "            dist = countyGeom[cc].distance(tractCP[t])\n",
    "            if dist < minDist:\n",
    "                minDist = dist\n",
    "                mopupCounty = cc\n",
    "    mopupPool = countyTractList[mopupCounty].copy()\n",
    "    mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "    AnGlE = -999\n",
    "    mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, AnGlE)\n",
    "    for tt in mopupList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "\n",
    "\n",
    "    # now for each straddler tract, slice up the remaining whole county into 3 parallel slices, for others to vote on LATER\n",
    "    nonstraddlerList = []\n",
    "    for tt in countyTractList[mC]:\n",
    "        if tt not in HDtractList[t]:  #i.e. not in this proposed straddler district\n",
    "            nonstraddlerList.append(tt)\n",
    "    targetPop = (countyPop[mC] - snappedHDpop[t] ) / int(countyDistricts[mC])\n",
    "    tolerPop = 0.03 * targetPop\n",
    "    stdANGLE = math.pi/2.  #for Lucas county, a vertical cut is reasonable\n",
    "    nonstraddlerPCP = get_PCP(nonstraddlerList,tractCP, tractPop3)  #... but the shape of the 3 whole districts has some influence on ideal cut angle\n",
    "    dx = tractCP[t].x - nonstraddlerPCP.x \n",
    "    dy = tractCP[t].y - nonstraddlerPCP.y\n",
    "    radialAngle = math.pi/2. * np.sign(dy)\n",
    "    if dx != 0 :\n",
    "        radialAngle = math.atan(dy/dx)  #will be -0.5 pi to 0.5 pi\n",
    "    cutAngle = 0.5* math.pi + radialAngle  #will lie between 0 and pi based on atan range\n",
    "    AnGlE = 0.5*(stdANGLE + cutAngle)  #mild accommodation for shape of nonstraddler group\n",
    "    twoD_List = debug_pieCut2(t, targetPop, tolerPop, nonstraddlerList, tractCP, tractPop3, AnGlE) #will return 2district list since t not in pieList\n",
    "    pielist1 = []\n",
    "    twoD_Pop = 0.\n",
    "    for tt in nonstraddlerList:\n",
    "        if tt in twoD_List:\n",
    "            twoD_Pop += tractPop3[tt]           \n",
    "        else:\n",
    "            pielist1.append(tt)  #all inCounty tracts not in remnant or the twoD remainder are in this single district\n",
    "    targetPop = twoD_Pop / 2.\n",
    "    tolerPop = 0.03 * targetPop\n",
    "    pielist2 = debug_pieCut2(t, targetPop, tolerPop, twoD_List, tractCP, tractPop3, AnGlE)\n",
    "    pielist3 = []\n",
    "    for tt in twoD_List:\n",
    "        if tt not in pielist2:  #throw all tracts not in 1st or 2nd whole district or straddler into the third district\n",
    "            pielist3.append(tt)\n",
    "    LISTS = [HDtractList[t], pielist1,pielist2,pielist3]\n",
    "    if ppC != -999:\n",
    "        ppCwholeDistrictList = []  # finally, (if applicable) define the ppC whole district triggered by this mC straddler tract's plan\n",
    "        for tt in countyTractList[ppC]:\n",
    "            if tt not in ppCList:\n",
    "                ppCwholeDistrictList.append(tt)\n",
    "        LISTS.append(ppCwholeDistrictList)\n",
    "    isJiggy = True  #default; the regional plan has only contiguous districts\n",
    "    for L in LISTS:\n",
    "        if isContiguous(L,neighborList) == False:\n",
    "            isJiggy = False\n",
    "    if isJiggy:\n",
    "        nJiggy +=1\n",
    "    else:\n",
    "        nNonjiggy +=1\n",
    "    if t%99999 == 0 or isJiggy == \"carrots\" :  #False:  #debug loop starts here **************\n",
    "        for L in LISTS:\n",
    "            plotPoly(countyGeom[mC])\n",
    "            for c in pairedCountyList:\n",
    "                plotPoly(countyGeom[c].centroid.buffer(0.1))\n",
    "            POLLY = tractGeom[L[0]]\n",
    "            for ttt in L:\n",
    "                POLLY = POLLY.union(tractGeom[ttt])\n",
    "            plotPoly(POLLY)\n",
    "            if isContiguous(L, neighborList) == False:\n",
    "                plotCenter(\"DisCont\",POLLY)      \n",
    "            plt.show()\n",
    "        pause = input(\"ready for next HD center?\")\n",
    "    if isJiggy:  #yes, the plan is contiguous. append the district plans for all districts in this new regional plan\n",
    "        planChoosers.append([])      #blank b/c the straddler-generator would likely NOT pick this plan\n",
    "        planRegionNo.append(currentRegionNo)\n",
    "        planNo = len(planTLnos)\n",
    "        planTLnos.append([])  #start a new plan with a blank slate of districts\n",
    "        for L in LISTS:\n",
    "            dTLno = len(districtTractList)\n",
    "            districtTractList.append(L)\n",
    "            planTLnos[planNo].append(dTLno)\n",
    "            districtPCP.append(get_PCP(L, tractCP, tractPop3))\n",
    "    else:\n",
    "        print(\"oh darn, the regional plan for tract\",t,\"generated a noncontiguous district.  nPlans still only\",len(planChoosers) )\n",
    "print(\"all done creating regional plans for region number\",currentRegionNo,\" = \",regionName[currentRegionNo])\n",
    "print(\"we had a total of\",nJiggy, nNonjiggy,\"jiggy and nonjiggy regional plans\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "1c9c6c32-9ea0-4c44-b110-78fd79f8c80a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now tracts in current region NW vote on their fav plan\n",
      "working on tract 2975 in region NW\n",
      "working on tract 3025 in region NW\n",
      "working on tract 3075 in region NW\n",
      "working on tract 3125 in region NW\n",
      "working on tract 3175 in region NW\n",
      "working on tract 3225 in region NW\n",
      "working on tract 213 in region NW\n",
      "working on tract 629 in region NW\n",
      "working on tract 933 in region NW\n"
     ]
    }
   ],
   "source": [
    "print(\"Now tracts in current region\",regionName[currentRegionNo],\"vote on their fav plan\")\n",
    "votingTractList = list()  #we could turn this into a def function, but we are tweaking for each region\n",
    "for t in countyTractList[mC]:\n",
    "    votingTractList.append(t)\n",
    "for pC in pairedCountyList :     #only tracts included in at least one plan can vote, all three Lucas pC's can vote\n",
    "    for t in countyTractList[pC]:\n",
    "        foundInAPlan = \"no\"        \n",
    "        for planNo in range( len(planTLnos) ):\n",
    "            if planRegionNo[planNo] == currentRegionNo:\n",
    "                    for dTLno in planTLnos[planNo]:\n",
    "                        if t in districtTractList[dTLno]:\n",
    "                            foundInAPlan = \"yes\"\n",
    "        if foundInAPlan == \"yes\":\n",
    "            votingTractList.append(t)\n",
    "            \n",
    "counter = 0\n",
    "for t in votingTractList:\n",
    "    counter +=1\n",
    "    if counter%50 == 0:\n",
    "        print(\"working on tract\",t,\"in region\", regionName[currentRegionNo] )\n",
    "    minDistance = MAPdiagonal  #default set to a very big number\n",
    "    if countyNo[t] in pairedCountyList and countyNo[t] != ppC:  #non-ppC pairedCounty tracts will often choose a homier district ...\n",
    "        pCno = pairedCountyList.index(countyNo[t])        #below few lines define where that alt HD's center is, pairing it with other counties\n",
    "        altTractList = []\n",
    "        for tt in countyTractList[countyNo[t]]:    #... by creating a list of all tracts in the pC and its alternate pairing choices outside the region\n",
    "            altTractList.append(tt)\n",
    "        for cc in altPairingList[pCno]:\n",
    "            for tt in countyTractList[cc]:\n",
    "                altTractList.append(tt)\n",
    "        altDistrictCP = get_PCP(altTractList, tractCP, tractPop3)  #... and this is the approx center of that alt HD for paired-county tracts\n",
    "        minDistance = altDistrictCP.distance(tractCP[t])     # ... so a regional district's PCP has to be closer than this alternative distance\n",
    " \n",
    "    bestDistrict = -999\n",
    "    for planNo in range(len(planTLnos)):\n",
    "        if planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            for dTLno in planTLnos[planNo] :\n",
    "                if t in districtTractList[dTLno]:   #.. and this tract can only vote if it's in a district (some pC tracts not drawn in)\n",
    "                    currentDistance = districtPCP[dTLno].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = dTLno\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict != -999:   #we found a decent district  (closer than the alt HD for non-ppC paired-county tracts\n",
    "        planChoosers[bestPlan].append(t)  #HDtype[t] = \"inRegion\"+str(currentRegionNo)\n",
    "        chosenPlan[t] = bestPlan\n",
    "print(\"all tracts in or near county\",mC,\"have voted\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "16136c27-d711-4130-bd1f-6665bc8b977d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now the Lorain - Erie - Huron cluster.  Each Lorain straddler fills with E or H partial\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county 46\n",
      "oh darn, the regional plan for tract 742 generated a noncontiguous district.  nPlans still only 990\n",
      "oh darn, the regional plan for tract 948 generated a noncontiguous district.  nPlans still only 991\n",
      "working on tract 1120\n",
      "oh darn, the regional plan for tract 1120 generated a noncontiguous district.  nPlans still only 995\n",
      "oh darn, the regional plan for tract 947 generated a noncontiguous district.  nPlans still only 996\n",
      "oh darn, the regional plan for tract 739 generated a noncontiguous district.  nPlans still only 996\n",
      "oh darn, the regional plan for tract 851 generated a noncontiguous district.  nPlans still only 998\n",
      "oh darn, the regional plan for tract 1056 generated a noncontiguous district.  nPlans still only 1000\n",
      "oh darn, the regional plan for tract 1033 generated a noncontiguous district.  nPlans still only 1005\n",
      "oh darn, the regional plan for tract 843 generated a noncontiguous district.  nPlans still only 1015\n",
      "oh darn, the regional plan for tract 1029 generated a noncontiguous district.  nPlans still only 1021\n",
      "oh darn, the regional plan for tract 749 generated a noncontiguous district.  nPlans still only 1024\n",
      "oh darn, the regional plan for tract 1052 generated a noncontiguous district.  nPlans still only 1025\n",
      "oh darn, the regional plan for tract 1049 generated a noncontiguous district.  nPlans still only 1025\n",
      "oh darn, the regional plan for tract 754 generated a noncontiguous district.  nPlans still only 1025\n",
      "working on tract 740\n",
      "oh darn, the regional plan for tract 740 generated a noncontiguous district.  nPlans still only 1025\n",
      "all done creating regional plans for region number 0  =  NW\n",
      "we had a total of 36 15 jiggy and nonjiggy regional plans triggered by county 46\n"
     ]
    }
   ],
   "source": [
    "# 10/29/22 - for Lorain cluster, either snapHD or pieCut2 is fine for mopup partial  with reg piecut, ~23/51 jiggy\n",
    "print(\"And now the Lorain - Erie - Huron cluster.  Each Lorain straddler fills with E or H partial\")\n",
    "mC = 46 #main county = Lorain \n",
    "currentRegionNo = 4  #0   #I've vacillated on whether this is in region 4(Lorain alone) or region 0 (with Toledo)\n",
    "pairedCountyList = [21,38]  #Erie, Huron\n",
    "altPairingList = [ [38], [21] ]\n",
    "ppC = -999  #a default flag to not draw a whole district in any neighboring counties\n",
    "#ppC = pairedCountyList[0]  #primary paired county (e.g. Wood = 86)   #n/a for this region\n",
    "#ppCmaxPop = countyPop[ppC] % avgDistrictPop  #the max population from the primary pairing county that can be used in a straddling district\n",
    "targetRemnantPop = avgDistrictPop * (countyDistricts[mC]%1.)  #the natural pop left after filling whole districts in main county\n",
    "luringCountyList = pairedCountyList.copy()\n",
    "luringList = list()\n",
    "forcedTractList = [ ]  #no forcing tracts needed for Lorain; will find the west tracts\n",
    "\n",
    "for c in luringCountyList:\n",
    "    for tt in countyTractList[c]:\n",
    "        luringList.append(tt)   #these tracts in nearby counties \"lure\" HDs which contain them to center straddler HDs\n",
    "forcedGeom = countyGeom[mC]   #default; we do not force any tracts to be in the original HDPoly's of straddler districts\n",
    "if len(forcedTractList) > 0:\n",
    "    forcedGeom = tractCP[forcedTractList[0]]\n",
    "    for T in forcedTractList:\n",
    "        forcedGeom = forcedGeom.union(tractCP[T])\n",
    "\n",
    "countyStraddlerList[mC] = get_straddlers(targetRemnantPop, countyPop[mC], countyTractList[mC],\n",
    "                                         luringList, forcedGeom, HDPoly, tractCP, tractPop3)\n",
    "mC_EnsnaredPop = 0.\n",
    "for t in countyTractList[mC]:\n",
    "    if t in countyStraddlerList[mC]:\n",
    "        HDtype[t] = \"straddlerMaker\"        \n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\"x\", label=\"generated a straddler HD\")\n",
    "        mC_EnsnaredPop += tractPop3[t]\n",
    "    else:\n",
    "        HDtype[t] = \"notAstraddlerMaker\"\n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\".\", label=\"not a straddler generator\")\n",
    "plotPoly(countyGeom[mC])\n",
    "plt.show()\n",
    "\n",
    "print(\"I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county\",mC)\n",
    "nJiggy = 0\n",
    "nNonjiggy = 0\n",
    "for t in countyStraddlerList[mC]: #for Lucas, the HDpop comes from mC=Lucas, then ppC=Wood, then a mop-up county\n",
    "    if t%20 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "    HDangle = [HDangle0[t],  HDangle1[t], HDangle2[t], HDangle3[t] ]\n",
    "    HDradius = [HDradius0[t], HDradius1[t], HDradius2[t], HDradius3[t] ]\n",
    "    HDtractList[t] = []\n",
    "    bigR = 4.*countyGeom[mC].area ** 0.5   #needs to be set big, as some city-based tracts may need to reach far into hinterlands\n",
    "    snappedTolerPop = 0.03*avgDistrictPop  #= countyPop[mC] / len(countyTractList[mC])\n",
    "    inCountyList = snapHD(t,targetRemnantPop, snappedTolerPop, countyTractList[mC],tractCP, tractPop3, HDangle, HDradius, bigR)\n",
    "    ppCList = []\n",
    "    if ppC != -999:    #i.e. there is a primary pairing county\n",
    "        ppCList = snapHD(t,    ppCmaxPop, snappedTolerPop, countyTractList[ppC],tractCP, tractPop3, HDangle, HDradius, bigR)\n",
    "    snappedHDpop[t] = 0.\n",
    "    HDtractList[t] = []\n",
    "    for tt in inCountyList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    iCP = snappedHDpop[t]  #store the inCounty pop temporarily\n",
    "    for tt in ppCList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    #print(t,r3(iCP),r3(snappedHDpop[t]),\"tract,inCountyPop, iCP+ppcPop\")\n",
    "    mopupPop = avgDistrictPop - snappedHDpop[t]\n",
    "    mopupCounty = pairedCountyList[1]\n",
    "    minDist = countyGeom[mopupCounty].distance(tractCP[t])  #pick the closest county to mop up the remaining pop to fill the district\n",
    "    for cc in pairedCountyList:\n",
    "        if cc != ppC and cc != pairedCountyList[1] :\n",
    "            dist = countyGeom[cc].distance(tractCP[t])\n",
    "            if dist < minDist:\n",
    "                minDist = dist\n",
    "                mopupCounty = cc\n",
    "    mopupPool = countyTractList[mopupCounty].copy()    \n",
    "    mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "    AnGlE = -999\n",
    "    mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, AnGlE)    \n",
    "    #alt approach: \n",
    "    #mopupList = snapHD(t,mopupPop, snappedTolerPop, mopupPool,tractCP, tractPop3, HDangle, HDradius, 2.*bigR)\n",
    "    for tt in mopupList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "\n",
    "\n",
    "    # now for each straddler tract, slice up the remaining whole county into 2 parallel slices, for others to vote on LATER\n",
    "    nonstraddlerList = []\n",
    "    for tt in countyTractList[mC]:\n",
    "        if tt not in HDtractList[t]:  #i.e. not in this proposed straddler district\n",
    "            nonstraddlerList.append(tt)\n",
    "    stdANGLE = 0.6 * math.pi  #for Lorain county, a NNW cut is reasonable default\n",
    "    nonstraddlerPCP = get_PCP(nonstraddlerList,tractCP, tractPop3)  #... but the shape of the 3 whole districts has some influence on ideal cut angle\n",
    "    dx = tractCP[t].x - nonstraddlerPCP.x \n",
    "    dy = tractCP[t].y - nonstraddlerPCP.y\n",
    "    radialAngle = math.pi/2. * np.sign(dy)\n",
    "    if dx != 0 :\n",
    "        radialAngle = math.atan(dy/dx)  #will be -0.5 pi to 0.5 pi\n",
    "    cutAngle = 0.5* math.pi + radialAngle  #will lie between 0 and pi based on atan range\n",
    "    ANGLE = 0.5*(stdANGLE + cutAngle)  #mild accommodation for shape of nonstraddler group\n",
    "    LISTS = [HDtractList[t]]*1\n",
    "    nWholeDistricts = int(countyDistricts[mC])  #for Lorain, there are two whole districts + one straddler\n",
    "    nCuts = nWholeDistricts - 1\n",
    "    sliceList = [list()]*nWholeDistricts\n",
    "    previousList = nonstraddlerList.copy()    \n",
    "    targetPop = (countyPop[mC] - snappedHDpop[t] ) / int(countyDistricts[mC])\n",
    "    tolerPop = 0.03 * avgDistrictPop\n",
    "    for cutNo in range(nCuts):  #iteration to continue vertical slices\n",
    "        remainingList = debug_pieCut2(t, targetPop, tolerPop, previousList, tractCP, tractPop3, ANGLE) #will return leftover list since t not in pieList\n",
    "        sliceList[cutNo] = []\n",
    "        remainingPop = 0.\n",
    "        for tt in remainingList:\n",
    "            remainingPop += tractPop3[tt] \n",
    "        for tt in previousList:\n",
    "            if tt not in remainingList:\n",
    "                sliceList[cutNo].append(tt)\n",
    "        LISTS.append(sliceList[cutNo])\n",
    "        previousList = remainingList.copy()\n",
    "        targetPop = remainingPop / (nCuts - cutNo)\n",
    "    LISTS.append(remainingList)\n",
    "\n",
    "    if ppC != -999:\n",
    "        ppCwholeDistrictList = []  # finally, (if applicable) define the ppC whole district triggered by this mC straddler tract's plan\n",
    "        for tt in countyTractList[ppC]:\n",
    "            if tt not in ppCList:\n",
    "                ppCwholeDistrictList.append(tt)\n",
    "        LISTS.append(ppCwholeDistrictList)\n",
    "    isJiggy = True  #default; the regional plan has only contiguous districts\n",
    "    for L in LISTS:\n",
    "        if isContiguous(L,neighborList) == False:\n",
    "            isJiggy = False\n",
    "    if isJiggy:\n",
    "        nJiggy +=1\n",
    "    else:\n",
    "        nNonjiggy +=1\n",
    "    if t%99999 == 0 or isJiggy == \"carrots\" :  #False:  #debug loop starts here **************\n",
    "        for L in LISTS:\n",
    "            plotPoly(countyGeom[mC])\n",
    "            for c in pairedCountyList:\n",
    "                plotPoly(countyGeom[c].centroid.buffer(0.1))\n",
    "            POLLY = tractGeom[L[0]]\n",
    "            for ttt in L:\n",
    "                POLLY = POLLY.union(tractGeom[ttt])\n",
    "            plotPoly(POLLY)\n",
    "            if isContiguous(L, neighborList) == False:\n",
    "                plotCenter(\"DisCont\",POLLY)      \n",
    "            plt.show()\n",
    "        pause = input(\"ready for next HD center?\")\n",
    "    if isJiggy:  #yes, the plan is contiguous. append the district plans for all districts in this new regional plan\n",
    "        planChoosers.append([])      #blank b/c the straddler-generator would likely NOT pick this plan\n",
    "        planRegionNo.append(currentRegionNo)\n",
    "        planNo = len(planTLnos)\n",
    "        planTLnos.append([])  #start a new plan with a blank slate of districts\n",
    "        for L in LISTS:\n",
    "            dTLno = len(districtTractList)\n",
    "            districtTractList.append(L)\n",
    "            planTLnos[planNo].append(dTLno)\n",
    "            districtPCP.append(get_PCP(L, tractCP, tractPop3))\n",
    "    else:\n",
    "        print(\"oh darn, the regional plan for tract\",t,\"generated a noncontiguous district.  nPlans still only\",len(planChoosers) )\n",
    "print(\"all done creating regional plans for region number\",currentRegionNo,\" = \",regionName[currentRegionNo])\n",
    "print(\"we had a total of\",nJiggy, nNonjiggy,\"jiggy and nonjiggy regional plans triggered by county\",mC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "115dff79-1356-4676-89b8-93b9b706d449",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now tracts in current region NW vote on their fav plan\n",
      "working on tract 841 in region NW\n",
      "working on tract 976 in region NW\n",
      "working on tract 1109 in region NW\n",
      "working on tract 3629 in region NW\n",
      "working on tract 522 in region NW\n",
      "all tracts in or near county 46 have voted\n"
     ]
    }
   ],
   "source": [
    "print(\"Now tracts in current region\",regionName[currentRegionNo],\"vote on their fav plan\") #Lorain similar to Lucas\n",
    "votingTractList = list()  #we could turn this into a def function, but we are tweaking for each region\n",
    "for t in countyTractList[mC]:\n",
    "    votingTractList.append(t)\n",
    "for pC in pairedCountyList :     #only tracts included in at least one plan can vote, both Lorain pC's can vote\n",
    "    for t in countyTractList[pC]:\n",
    "        foundInAPlan = \"no\"        \n",
    "        for planNo in range( len(planTLnos) ):\n",
    "            if planRegionNo[planNo] == currentRegionNo:\n",
    "                    for dTLno in planTLnos[planNo]:\n",
    "                        if t in districtTractList[dTLno]:\n",
    "                            foundInAPlan = \"yes\"\n",
    "        if foundInAPlan == \"yes\":\n",
    "            votingTractList.append(t)\n",
    "            \n",
    "counter = 0\n",
    "for t in votingTractList:\n",
    "    counter +=1\n",
    "    if counter%50 == 0:\n",
    "        print(\"working on tract\",t,\"in region\", regionName[currentRegionNo] )\n",
    "    minDistance = MAPdiagonal  #default set to a very big number\n",
    "    if countyNo[t] in pairedCountyList and countyNo[t] != ppC:  #non-ppC pairedCounty tracts will often choose a homier district ...\n",
    "        pCno = pairedCountyList.index(countyNo[t])        #below few lines define where that alt HD's center is, pairing it with other counties\n",
    "        altTractList = []\n",
    "        for tt in countyTractList[countyNo[t]]:    #... by creating a list of all tracts in the pC and its alternate pairing choices outside the region\n",
    "            altTractList.append(tt)\n",
    "        for cc in altPairingList[pCno]:\n",
    "            for tt in countyTractList[cc]:\n",
    "                altTractList.append(tt)\n",
    "        altDistrictCP = get_PCP(altTractList, tractCP, tractPop3)  #... and this is the approx center of that alt HD for paired-county tracts\n",
    "        minDistance = altDistrictCP.distance(tractCP[t])     # ... so a regional district's PCP has to be closer than this alternative distance\n",
    " \n",
    "    bestDistrict = -999\n",
    "    for planNo in range(len(planTLnos)):\n",
    "        if planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            for dTLno in planTLnos[planNo] :\n",
    "                if t in districtTractList[dTLno]:   #.. and this tract can only vote if it's in a district (some pC tracts not drawn in)\n",
    "                    currentDistance = districtPCP[dTLno].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = dTLno\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict != -999:   #we found a decent district  (closer than the alt HD for non-ppC paired-county tracts\n",
    "        planChoosers[bestPlan].append(t)  #HDtype[t] = \"inRegion\"+str(currentRegionNo)\n",
    "        chosenPlan[t] = bestPlan\n",
    "print(\"all tracts in or near county\",mC,\"have voted\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "2003088c-8150-4a20-a858-1e15a578485f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[38] [21]\n",
      "[21, 38]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(altPairingList[0],altPairingList[1])\n",
    "print(pairedCountyList)\n",
    "for t in altTractList:\n",
    "    if chosenPlan[t] >= 0 :\n",
    "        plotCenter(\"IN\",tractGeom[t])\n",
    "    else:\n",
    "        plotCenter(\"X\",tractGeom[t])\n",
    "plotPoly(altDistrictCP.buffer(0.02))\n",
    "plotPoly(countyGeom[mC])\n",
    "for c in pairedCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa94f713-893f-4729-936b-05bec8810c60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#10/27/22 -- test the above wedge code on a Delaware neighbor.  Include plots if needed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "a6971fcc-fd4c-4b96-9718-f17a1c036e67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now Delaware County. Now using piecut for mopup partial\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county 20\n",
      "Unlike Lorain, we will pie-cut to form the whole inCounty district, then pie-cut straddler + pairing\n"
     ]
    },
    {
     "data": {
      "image/png": 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q6uoAACUlJWHlJSUlOHjwYLfb/Pzzz/HGG29g3rx5eOWVV7B//34sWLAAPp8PP/vZz7p8TXV1NZYvXx5t9aNmMWnned1eBhaipBMC2Pca8M6DwOF/aWW2ouTWKY3wsmZKZ1EFlsOHD2PhwoXYtGkTrFZrt+t1TO5CiB7TvKqqGDx4MNasWQODwYDx48fj2LFjuO+++7oNLEuWLMFdd92lzzscDgwdOjSa3YmISdbq7VMZWIiSRvECnzwH/HMVUP9vrcxgBsZdB3x1cVKrlk54lRCls6gCy/bt21FfX4/x48frZYqi4O2338bq1auxd+9eAFpLS1lZmb5OfX19p1aXUGVlZTCZTDAYgon/nHPOQV1dHTweD8xmc6fXWCwWWCzxvz260aD9UXsV9mEhSjiPE/jwKWDbb4HmQ1qZORuY8B/ApPlAblnPr6cwaug/XgwslGaiCizTpk3Dzp07w8puueUWjB49GnfffTdGjhyJ0tJSbN68GRdccAEA7QqgrVu34le/+lW3273kkkuwYcMGqKqqdwTbt28fysrKugwriWT092HxMbAQJY6rCXj/D8B7vwOcDVqZrRiYdAdw0a1AVkFy65emeEqI0llUgSUnJwdjxowJK7Pb7SgqKtLLFy1ahKqqKlRWVqKyshJVVVWw2WyYO3eu/pobb7wRFRUVqK6uBgDccccd+O1vf4uFCxfizjvvxP79+1FVVYUf/vCH/d2/fjPylBBR4jQfBf71CLD9ccDTqpXlDwcu+SFw/jzAlJXU6qU9drqlNNany5p7snjxYrhcLsyfPx9NTU2YOHEiNm3ahJycHH2dQ4cOhV1SN3ToUGzatAn//d//jbFjx6KiogILFy7E3XffHevqRc3orydPCRHFwZ6XtdM9riag3QG01gUvVy4ZA3zlv4EvXQMYYv5RlZHYwkLprN+fAm+99VbYvCRJWLZsGZYtWxbxawDg4osvxr/+9a/+VifmTP4+LApbWIhi7x8PAEc/CC8bcSlwyUJg1HT2s4gxdrqldMZ/W3rBTrdEcdRWrz1fsRIYOhHIKdUeFBcch4XSGQNLL6xGrdm03dv9IHZE1AfHaoHT/it/hk8GSs9LanUyQVgLC0e6pTTDwNKLwmztKqWGNk+Sa0I0wBwKOQX8/B1aP5WL/gu4YF7y6jTQ+U9tq0Lq351viZKAgaUXRXZtrJdTre4k14QoDe17DWg+rA2f7/MAijv4/PZ9wfVO+IdLeGE+A0scCWgtLCoYWCj9MLD0ojjQwtLKFhaiqLTUAX+8LuSuypRsgVNCgne4pjTEwNKLomythaWBLSxE3avfrYUTcw4w5/fAMzcAjZ8Hl4++ShtK32gJfz66HWj4TBu59sDbwDUPJ28fMkCg0y0DC6UjBpZeBFpY2jwKXB4FWWaOXUAURvEBr/wYaPpCm//d5PDlw78CXPd079u5bEnMq0YdsIWF0hgDSy+yLUaYjTI8PhWnWt0YWmhLdpWIksvnAf72w2BAOfRu1+sNmwx8ay2Qw/v9pIrAvYQ4SAOlIwaWXkiShEKbGXWOdjQ5PQwsRC3HgI/+2Ln8vO8AE27VOtQCwNBJgKn7u7pTEohAp1t2uaX0w8ASgbwsE+oc7XC4fMmuClHyFYwAzpgCHNgKVIzXRqU1mIEzvgqY7cmuHfVACI4nRemLgSUCeVkmAECzy5vkmhAlyIdPAyf3aJ1lh1wEdBxkbOpPtMBy/COg/AIgf1hy6klRESpbWCh98bc2ArlZWq5jYKG0IwSw+2/Ai3cG+5z05tPXtfFQtj0EPDoT+M1Y4OC24HJ3i/Y8bDKg+oB//Drm1ab4CIzDwj4slI4YWCKQ629hcbQzsFCaEEILHmsv0y4x3vEE8NEzvb/O2Qi8sECbDgyV33xYa3EJeOpbwGNXaHdYBoDtjweH2KeUJgKXNfM+QpSGeEooAjwlRGln0/8A764OL9vzN8BxFDBagYtuBYoqgVd/op3WgdBCTls90HJcW/Yfm4DtjwGv3QPUPgWcPqht5/B72vPJ3cFtf/gUcNk9Cdk16rvArYR4WTOlIwaWCORaGVgozXz6uvZ8/jzAYNJaQep2ag8AeP/33b9WNmqDv5ltWgfbgC/+0f1reOPC9MCB4yiNMbBEgC0slFbcrcHWjwn/ARSOBAadA3hatZFl974Svv7wS4BJdwCQAEnS1h98jras8uvAdx7Xxl4xGLV/0YUATn8B5I/Q1s8fDgy9KHH7R30W7MPC3gCUfhhYIhAILA4GFkoHn78ZnM4tB2yFwKTvB8vcrYDXqU3LRm15dwxG4NxvxqeelHDBewkRpR8GlggwsFBSndwL7N+ktWxIstaqEWgN6fQM4Fit9pxdogWWjizZ2oMyjvCPdMvLmikdMbBEIJenhCiZnr0VOLEz+teVXxj7ulBaC7SwEKUjBpYI6C0s7RzplpLAeUp7rvw6kJUPCNV/uYfo/lk2AZPmJ63KlJoEO91SGmNgiUBop1shBCSOYUCJpPhb9qYvA0q+lNSqULrj3ZopffFEZgQCI90qqkCbh/fioART/YHFYEpuPSjtBTvdMrBQ+mFgiUCWyQCTQfsDZz8WSjjFfypSZoMo9U+g0y0va6Z0xN/aCEiSxCuFKHnYwkIxw8uaKX0xsESIVwpR0gT6sMgMLNQ/Ku8lRGmMgSVCHJ6fkkLxQf9/mC0s1F/sw0JpjIElQjwlREmheILTBnPy6kEDAwMLpTH24osQ7ydEkVKFik9OfQKXz4WDjoNwep244owrUGIviX5jijs4bbTErpKUkYRgp1tKXwwsEQpc2swWFurNn/b+Cb947xdhZb/58Df48HsfRr8xX6CFReJVQtRvHOmW0hljdoTYwkKROug4CADIt+TrZT61j6MkB1pYjJbgvYKI+ki/rJm/S5SG+C9bhDg8P3Vny8EtePPwmxBC4G+f/00v/85Z38Eg2yBUvVeFGcNn9G3jgRYWA08HUQzofVj4vyqlHwaWCLGFhbqiqArueeceuHyusPJCayFmDJ+Bj05+1M83CLSwsMMt9Z9AoA8LUfphzI4QL2umrhhkA354wQ/Dyn556S+x+dubcU7ROfD6B30zSn3838DnDyy8QohigSPdUhrjb22EeFkzdeeGL92Ahy57CFnGLADAKdcpmP0BI9B3xdjXDrOBQeMYWCgGgn1u2YeF0g8DS4Q40i315LJhl+HqkVcDAO7/4H7cseUOfHTyI7Qr7QCA/af3Q/VfUhqV0E63RP0ltJFuVXa6pTTEwBIh9mGh3owbPE6ffufoO7jhlRvwSO0jAIA9jXsw7olxePXAq9FtVO90yxYW6r/gZc0MLJR+GFgiFGhhcftUtHuVJNeGUtGsM2fhySuexC++8gvkmHK6XOcPO/8Q3UbZwkIxFBw4joGF0g+vEopQjsUISdLOATvavbCaDMmuEqWg8wefj/MHn48RuSMw75V5AIDRhaNxVsFZ2N+0Hz+44AfRbVDvdMvAQjHAofkpjTGwREiWJeRaTWh2eeFweTE4x5rsKlEKGztoLJ68fD3adj2HyR4VklMCLGcDu7cAu1/3DwIn9f5cv0vbIC9rppjw96NiHxZKQwwsUcjNMqLZ5WU/ForI+aoBePu3sdmYJTc226GMJlS2sFD6YmCJQl6WCYfhgsPF0W4pAtb84PTkO4PXlAoBQET+LJuAi25NcOVpQOIpIUpjDCxR4JVCFBVbYXD60v8HZBUkry5ECHa65VVClI54lVAUvIr23wmvEqKIWHKA4rO06Y+eSW5diBC8rFlI/Oin9MPf2gjVt7Tjgy8aAQAXn1mU5NpQ2pj4fe35jRVA89Hk1oUynsR7CVEaY2CJ0MsfH4cqgPOH5mN4kT3Z1aF0Mf5mYMiXAU8L8PfFya4NZTjBewlRGuNvbQR8ioqn3zsEAJh9fnmSa0NpRTYAsx4CJBnY8xJwZHuya0QZLDjQLfuwUPphp9sIvH+gEZ/Wt8JqkjFrXHIDixACqgBUIaCoAiIwLQSECihCQBUCqqqtp/inhehimeqfD9lm6DLh364q4C/veVnH+nS1LFAHEfr+oXUNme+4TPi3o/ovoBFCQAD69lT/vAidF4B2Jaf2ujOK7Vj6jXMgywn8wB58DjD2u8BHfwRevRv4j02AzP8VKAn89xLiVUKUjvoVWKqrq3HPPfdg4cKFWLVqFQDty2L58uVYs2YNmpqaMHHiRDz88MM499xzu93O448/jltuuaVTucvlgtWa/AHa/vV5AwDAbjZiyXM7wwKD/oWvBsOB9oUN/Qu245e1qvq/0FXor1dUBENA6Bd2yHqK/wuY+uebF1RgTEVe7DYoBOBpBdpOAc4G//MpoO2kNt1aD9Tt1NY9UgPseg4479uxe3+iCAm99woDC6WfPgeWmpoarFmzBmPHjg0rX7lyJR544AE8/vjjOOuss7BixQrMmDEDe/fuRU5O1/dXAYDc3Fzs3bs3rCwVwgoANDq1G9A1tHmw6d8nklybyMgSYJAlSJKkTUsSZEmCLEthywz+5Vp5+LRBkiD51w19bU/LtPLge3S1zCBr2widDjz0+ZD3Cl0mScF6Sv7l2v5K+rwkaetJYeXA3X/RQoNP7SX1CQG0nwbaGvzB41TIc0PX84F7/kSiL3dtJooF/SohBhZKP30KLK2trZg3bx7Wrl2LFStW6OVCCKxatQpLly7FnDlzAADr169HSUkJNmzYgNtvv73bbUqShNLS0r5UJ+5+NPNsnFueB5+ihn2Zd/XlH/hS1aY7fKn7yzqGAtn/JW3o4ks6dJnURfDobhl19vstu1Ds2IX8A81Anaub8HFSe1b7MDigMQuwFwO2Iu3ZPij4yB6sleUPB4orY79zRJFQefNDSl99CiwLFizAlVdeienTp4cFlgMHDqCurg4zZ87UyywWC6ZMmYJt27b1GFhaW1sxfPhwKIqC888/Hz//+c9xwQUXdLu+2+2G2x38r9bhcPRlVyKSbzPj+i8Pi9v2KTEe9izFOZbPgDcifIE52x8+BvmDSDFgL/I/dzFv5tVjlOp4SojSV9SBZePGjdixYwdqamo6LaurqwMAlJSUhJWXlJTg4MGD3W5z9OjRePzxx3HeeefB4XDgN7/5DS655BJ89NFHqKzs+r/R6upqLF++PNrqUwYbJo4BAFxFY5BVPLzn8GErBkypcUqSKFb0y5o5cByloagCy+HDh7Fw4UJs2rSpx/4lUofzo0KITmWhJk2ahEmTJunzl1xyCS688EL89re/xUMPPdTla5YsWYK77rpLn3c4HBg6dGiku0IZ7NDXHsHZ545LdjWIkoAtLJS+ogos27dvR319PcaPH6+XKYqCt99+G6tXr9Y7zdbV1aGsrExfp76+vlOrS09kWcZFF12E/fv3d7uOxWKBxWKJpvpEADgEBWUufWj+JNeDqC+iahecNm0adu7cidraWv0xYcIEzJs3D7W1tRg5ciRKS0uxefNm/TUejwdbt27F5MmTI34fIQRqa2vDQg9RfwU7GvLjmjKTFLhCjaeEKA1F1cKSk5ODMWPGhJXZ7XYUFRXp5YsWLUJVVRUqKytRWVmJqqoq2Gw2zJ07V3/NjTfeiIqKClRXVwMAli9fjkmTJqGyshIOhwMPPfQQamtr8fDDD/d3/4g6YQsLZSJ3uxOKqxkArxKi9BTzkW4XL14Ml8uF+fPn6wPHbdq0KWwMlkOHDkEOGenz9OnTuO2221BXV4e8vDxccMEFePvtt/HlL3851tWjDBY8e88Pa0p/QlXR1tqM5lPH0HLqGJxNdfA6TkBtqYfsPAlT+ylY3Y3IVpqQr55GLtoQ6CnITreUjiQhBsbYqQ6HA3l5eWhubkZubm6yq0MpqGVZGXLgxKfXbsWoL52f7OoQdand1Yam+iNwnDwKZ+MxeJrroLacgNxWD7PrJGyeBuQojShQTyNL8kS1bY8woFEqxLFJ/4MLL785PjtAFKVIv795LyHKODwlRImm+HxoOnUMzfVH0NZwDO2nj0Nx1EFqq4fJdRJW9ynk+BqRrzYhF06UAei1B5//99gpLDgt56PFUACnuRBeaxEU2yDI2YNhzB0Ma34ZsovKkV9chtyCQSiVZaTmEJ1EPWNgoYyhn7dnYKE4anU04ZMnfwxby+fI9jQgT21CvnCgWBIojnAbbmFCo5QPh7EQTnMRPNZiqPbBkHNKYMorg62wDDlFFSgYXA5bdh5scd0jotTAwEIZh3mF4mn3G09j0sk/hxdKgCokNEp5aDYUoM1UBLelGD7bYEg5g2HMK0VWfjmyiyuQP3gIcvMKUSbLvbeyEGUQBhbKOAwsFE++psMAgE8s50OddCfsReXIGzwE+UWlKDaZI25lIaJwDCyUMQKnhBhYKJ7ktnoAQEvxBbj4sm8nuTZEAwevbaMMol0QJ0kD4sI4SlEm10kAgJwT+ejeRNQ7BhbKGIEWFpmXCVEc2TwNAABTPnugEMUSAwtlDn/Disy8QnGU69MCi62gPMk1IRpYGFgog2iJhS0sFC9CVVGgNgEAcgbx7vFEscTAQhnDAO3Gb5LRlOSa0EDV4mjSR58tLBmS5NoQDSwMLJQxAoHFIBuSXBMaqE7Xa5c0t4gsZNlzelmbiKLBwEIZQ29hMTCwUHy0nDwKADgtFyS5JkQDDwMLZQQhBGR/YJENPCVE8eE6fQwA4DAVJbkmRAMPAwtlBFUAJkkBAMg8JURx4jt9HADgsgxKck2IBh4GFsoIiqLo07KBAzxTfIjWEwAAXxYDC1GsMbBQRlAVnz4t8yohihOjUxuWX2RzlFuiWGNgoYyg+Lz6NK8Sonixtp8CABhzS5NcE6KBh4GFMoKihrawMLBQfGR7tVFuLRzllijmGFgoIwhF1adlmX1YKD7y1UYAQE4xAwtRrDGwUEZQlZBTQrysmeLA425HAVoAAPmDhyW5NkQDDwMLZQQltNMtB46jOGisPwIA8AgD8goHJ7k2RAMPAwtlBOG/rFkREsCbH1IcOPyj3DZJ+QzFRHHAwEIZQVW1U0IK+EVC8eFs0AJLs5Gj3BLFAwMLZQQ10MLCX3mKE7d/lFunmYGFKB746U0ZIXBKSIWMVrcPqiqSXCMaaNSWOgCA28pRbonigdd3UkYIXCXkg4xx974GSQJsJgPsFiOyrUZkW4ywm42wW4zICcyHTGf718sJWV+bN8FqkiGxX0zGk9u0UW5VOzvcEsUDAwtlhNIc7VLmwCkhIYA2j4I2j4L6Fne/tm2QJT3U5ISEmbB5i6nLwBMahuxmIwwyg0+6Mru0wCLlcJRbonhgYKGMYJS0U0AF2VnYvfRytLp9aHP70Op/tOnPCtrcPrQEytq18ha3D63tXm39dv+82wchAEUVaHZ50ezy9lKL3tnNhrAgYzUZYDUZkGUywGqSkWU2wGLsXGY1GmA1G2A1ytoyf1mWWYbF6J83acuNBp4JjgebRxvl1pxXluSaEA1MDCyUGfynhCTZiCyz9gU+KMfSr00KIeD0KFqg8QcbLeB4O8wHAo+vQ+DxatPtPvj8fWoCrT4n0L9Wn56YDFIw4Jhkf/AJeRjlkMBjgCVknUBICl1fD07+eYtJC0kWowyTQc6YVqNspRkAkJXPU0JE8cDAQplB8WjPxv6FlFCSJMHu7+tSktv37Qgh4Pap4QGnXWvhafcpcHkUtPtUtHsUtHsVf5mKdp+ilQXW8ar6tNun+l8XnA/wKgJeRQtNiWCQJZgMEkwGWQ8xZv9zYNrsX242ylqYCglFFlOgLLQ8WGYxaq+zGANhKWTeP22Upbj3M7KLVgCAJacwru9DlKkYWCgz+PwtFobYBZZYkSRJ/3Iuzo5P/VRVwKOEh5h2rwqXV4E7NAR5Fbi8/mDk9YcgvUzVy10dloeu4/IqYe+tqAKKKtDuVf0D1yeeLEEPNGaDrLcCBaf988bgdMd1LfqyDuuaZJhlCZNFGyABtjxeJUQUDwwslBkCgSWGLSzpRJYlWGUtFMWbEAJeRQtIXp8Kr6LC7X/WyrRlHn+Z1z/t8a/n9qlaiOoUlLQWJHdImdunvdbtU/TXBua9SvDSdVUALv/24iEXbfjYqr2fPY/jsBDFAwMLZQYlswNLIkmSBLNRgtkoA0k83IoqtCDUIdDo015/SPJ2Djth097ulgXnC91tQAvgkSzIyc5O3k4TDWAMLJQZfO3as9Ga3HpQwhhkSe9gDcT5Dt2H3wfWAebckvi+D1EG4/WNlBl8/k63BnNy60EDU4s2LD84BgtR3DCwUGZgCwvFU8sJ7TmHLSxE8cLAQplBv6yZLSwUB4EWlmy2sBDFCwMLZQb9smYGFoqD1kALCwMLUbwwsFBmUP3D5jOwUDz479TMwEIUP7xKiDKDwsBCcRQILJ+9CTgbAUs2YA487NqzJWTanA0Y+PFLFA3+xVBmCPRhMcT58lbKTKr/NgefPKs9ImGwBEOMyQaYsgBjlvYceBitwWV6WYd1AmX/fgGQDSHrd3zuqswWfB+ZDe6U2hhYKDOwDwvF0zWPaIHB0wZ4WrVnd4t/PlDWCrhbg6cnFTfgdAPOhuTWPcCYBZg6BqQoQo8pCygdBxSPSvae0ADFwEKZIQ43PyTSDZmgPSLh8wQDjKdNCzE+F+ANfTi1S/G9TsDbrpX5QpZ520PWCSmXTcBZXw9ZL/S543Zdwcv9AW37Phfgaur7cTCYgcWfA5acvm+DqBsMLJQZFA4cRynCaAaMhYAtBe7qrCohoadjwOkQdHoqczUBB97W/s4C/cWIYoyBhTIDR7ol6kw2+DsC2/u3naaDwG/Gav1ysgpiUzeiDtjLijIDTwkRxU9gHJrsEkCSklsXGrAYWCgzBO7WzKuEiGJPHziPtyag+OlXYKmuroYkSVi0aJFeJoTAsmXLUF5ejqysLEydOhW7du2KeJsbN26EJEm45ppr+lM1onD6KSG2sBDFXGAcmmwGFoqfPgeWmpoarFmzBmPHjg0rX7lyJR544AGsXr0aNTU1KC0txYwZM9DS0tLrNg8ePIgf/ehHuPTSS/taLaKusdMtUfzw1gSUAH0KLK2trZg3bx7Wrl2LgoJgByshBFatWoWlS5dizpw5GDNmDNavXw+n04kNGzb0uE1FUTBv3jwsX74cI0eO7Eu1iLoXGNiLo4sSxR5bWCgB+hRYFixYgCuvvBLTp08PKz9w4ADq6uowc+ZMvcxisWDKlCnYtm1bj9v83//9XwwaNAi33nprRHVwu91wOBxhD6JuCVV7lthtK9NJkoS//vWvya7GwBLa6ZYoTqL+9N64cSN27NiB6urqTsvq6rSUXVIS/ktbUlKiL+vKP//5T6xbtw5r166NuB7V1dXIy8vTH0OHDo34tZTJeAXDQHXzzTdDkiRIkgSTyYSSkhLMmDEDjz76KFRV1dc7fvw4rrjiioi3++GHH+I73/kOSkpKYLVacdZZZ+G//uu/sG/fvpjWP62DFG/+SAkQVWA5fPgwFi5ciKeeegpWq7Xb9aQOl7UJITqVBbS0tOCGG27A2rVrUVxcHHFdlixZgubmZv1x+PDhiF9LGUiIZNeAEuDyyy/H8ePH8cUXX+Dvf/87LrvsMixcuBBXXXUVfD7ttGBpaSkslsg6X7/00kuYNGkS3G43nn76aezevRtPPvkk8vLy8NOf/jSeu5Je2MJCiSCi8PzzzwsAwmAw6A8AQpIkYTAYxKeffioAiB07doS9btasWeLGG2/scpsffvhhp21KkhS2zUg0NzcLAKK5uTmaXaJMse7rQtybK8Suvya7JhQnN910k5g9e3an8tdff10AEGvXrhVCCAFAPP/880IIIdxut1iwYIEoLS0VFotFDB8+XFRVVQkhhGhraxPFxcXimmuu6fL9mpqa9Om33npLXHTRRcJsNovS0lJx9913C6/Xqy+fMmWKuPPOO8WPf/xjUVBQIEpKSsS9996rLx8+fLgAoD+GDx/er2ORUIpPiGX52t+X43iya0NpKNLv76haWKZNm4adO3eitrZWf0yYMAHz5s1DbW0tRo4cidLSUmzevFl/jcfjwdatWzF58uQutzl69OhO25w1axYuu+wy1NbW8lQPxRhPCWWar33taxg3bhyee+65TsseeughvPjii/jTn/6EvXv34qmnnsKIESMAAK+99hpOnTqFxYsXd7nd/Px8AMDRo0fxjW98AxdddBE++ugj/O53v8O6deuwYsWKsPXXr18Pu92O9957DytXrsT//u//6p+VNTU1AIDHHnsMx48f1+fTQttJrY+YJAP2QcmuDQ1gUV0ykZOTgzFjxoSV2e12FBUV6eWLFi1CVVUVKisrUVlZiaqqKthsNsydO1d/zY033oiKigpUV1fDarV22mbgg6BjOVGf8ZRQRhs9ejQ+/vjjTuWHDh1CZWUlvvKVr0CSJAwfPlxftn//fv21PXnkkUcwdOhQrF69GpIkYfTo0Th27Bjuvvtu/OxnP4Msa/8Xjh07Fvfeey8AoLKyEqtXr8brr7+OGTNmYNAg7Ys+Pz8fpaVp1g8k0H/FPkgb6p8oTmJ+jefixYvhcrkwf/58NDU1YeLEidi0aRNycoJ37zx06JD+R0yUGP7AwmHDM5Loph/dzTffjBkzZuDss8/G5Zdfjquuukq/ylFEGHJ3796Niy++OGz7l1xyCVpbW3HkyBEMGzYMADqNWVVWVob6+vq+7lLqYP8VSpB+B5a33norbF6SJCxbtgzLli2L+DUdPf744/2tFlE4/cuHgSUT7d69G2eccUan8gsvvBAHDhzA3//+d2zZsgXXXnstpk+fjmeffRZnnXUWAGDPnj24+OKLu912V2EoEHZCy02m8NtCSJIUdvVS2uKgcZQgbOagzMIWlozzxhtvYOfOnfjWt77V5fLc3Fx897vfxdq1a/HMM8/gL3/5CxobGzFz5kwUFxdj5cqVXb7u9OnTAIAvfelL2LZtW1iLzLZt25CTk4OKioqI62kymaAoSuQ7lipa2MJCicHAQhmCfVgygdvtRl1dHY4ePYodO3agqqoKs2fPxlVXXYUbb7yx0/oPPvggNm7ciD179mDfvn3485//jNLSUuTn58Nut+MPf/gDXn75ZcyaNQtbtmzBF198gQ8++ACLFy/G97//fQDA/PnzcfjwYdx5553Ys2cPXnjhBdx777246667ojr1PWLECLz++uuoq6tDU1NTzI5J3LVyDBZKDAYWygw8JZQRXn31VZSVlWHEiBG4/PLL8eabb+Khhx7CCy+8AIOhc4fQ7Oxs/OpXv8KECRNw0UUX4YsvvsArr7yiB43Zs2dj27ZtMJlMmDt3LkaPHo3rr78ezc3N+lVAFRUVeOWVV/D+++9j3Lhx+P73v49bb70V//M//xNV3X/9619j8+bNGDp0KC644IL+H4xE4bD8lCCSiLRnWYpzOBzIy8tDc3MzcnNzk10dSjVrpwFHPwCu3wicHfkop0TUiz9MB47UANc+CXxpVrJrQ2ko0u9vtrBQhhgQuXzAWrZsmT6sfuARennvsmXLMHr0aNjtdhQUFGD69Ol47733wrZx++2348wzz0RWVhYGDRqE2bNnY8+ePWHr7NixAzNmzEB+fj6Kiopw2223obW1NSH7OGC1sNMtJQYDC2UGnhJKeeeeey6OHz+uP3bu3KkvO+uss7B69Wrs3LkT77zzDkaMGIGZM2fi5MmT+jrjx4/HY489ht27d+O1116DEAIzZ87UO7IeO3YM06dPx6hRo/Dee+/h1Vdfxa5du3DzzTcnelcHDiGCfVh4SojiLObjsBClJo7DkuqMRmO3g6aFDjwJAA888ADWrVuHjz/+GNOmTQMA3HbbbfryESNGYMWKFRg3bhy++OILnHnmmXjppZdgMpnw8MMP631UHn74YVxwwQX49NNPMWrUqDjt2QDmagIUjzbNwEJxxhYWyjAMLKlq//79KC8vxxlnnIHrrrsOn3/+eZfreTwerFmzBnl5eRg3blyX67S1teGxxx7DGWecod/ew+12w2w2h125k5WVBQB45513Yrw3GSIwBos1HzB1f0NcolhgYKHMMDD6lg9YEydOxBNPPIHXXnsNa9euRV1dHSZPnoyGhgZ9nZdeegnZ2dmwWq148MEHsXnz5k53eH/kkUeQnZ2N7OxsvPrqq9i8eTPMZjMA7Z5CdXV1uO++++DxeNDU1IR77rkHAHD8+PHE7exA0sJLmilxGFgoQ/CUUCq74oor8K1vfQvnnXcepk+fjpdffhmAdsPAgMANUbdt24bLL78c1157baeh7efNm4cPP/wQW7duRWVlJa699lq0t7cD0PrIrF+/Hr/+9a9hs9lQWlqKkSNHoqSkpMtLnikCrf7jz9NBlAAMLJRhGFjSgd1ux3nnnaffgDBQNmrUKEyaNAnr1q2D0WjEunXrwl6Xl5eHyspKfPWrX8Wzzz6LPXv24Pnnn9eXz507Vx9YrqGhAcuWLcPJkye7HLafIsBB4yiBGFgoM/CUUFpxu93YvXs3ysrKul1HCAG3293jdrpbp6SkBNnZ2XjmmWdgtVoxY8aMftc5I3FYfkogXiVEmYUNLCnpRz/6Ea6++moMGzYM9fX1WLFiBRwOB2666Sa0tbXhF7/4BWbNmoWysjI0NDTgkUcewZEjR/Cd73wHAPD555/jmWeewcyZMzFo0CAcPXoUv/rVr5CVlYVvfOMb+vusXr0akydPRnZ2NjZv3owf//jH+OUvf4n8/Pwk7XmaYwsLJRADCxEl3ZEjR3D99dfj1KlTGDRoECZNmoR//etfGD58ONrb27Fnzx6sX78ep06dQlFRES666CL84x//wLnnngsAsFqt+Mc//oFVq1ahqakJJSUl+OpXv4pt27Zh8ODB+vu8//77uPfee9Ha2orRo0fj97//Pb73ve8la7fTH1tYKIEYWIgo6TZu3NjtMqvViueee67H15eXl+OVV17p9X2eeOKJqOtGPeCgcZRA7MNCRER9w2H5KYHYwkJERNHztAGeFm264TPA7QBMtuDDbAOMWYDM/4spNhhYKLPwYiGi2HCdDk7/8bvdr2fMAkxZgNmuPZuyAJN/2mzrHHLClgdeE7o88PAvN5jivquUGhhYKDPoA8YxsRDFRG45MOFW4Oh2wOsCvE7t4XECPldwPZ9Le7ga41MP2dhNAMrqewgKXd+UxQEnUwQDC2UI/wcOx2Mhig1JAq56oOtlqqqFFK9LO3XkdQHewHMXZR5nMPAEQk+3y/2vF4r/vXyAu1l7xEuPrUDdhaQeQlDHliUDv4ojwaNEmYEtLESJI8val7TZDtiLe18/WkIAijeKwNPWuRWoYwAKhKnAa3ztwfcLrBsvsikk8FjDw4/RGtIiFHjuUBY47aavE/oIWcdgSuvWIgYWyhBsYSEaMCQJMJq1R1ZBfN5DVboIOX0JQT0sD/wDpXrj30oEAJIhymDU4bTa4HOBYRPjW8ceMLBQZmALCxFFQzYAlmztEQ9CAD53MMAEwo2vPaTMCXjbe1nHFb7M6wqejguUCdX/nop2ZVfg6q6+WLQTyB8Wm2MQJQYWyhBsYSGiFCJJ/lYOa3zfRwhA8XQRaiIIRqEtSjufBeA/FZckDCyUGdjCQkSZSJIAo0V7ZOX3bRueNmDnn7Vp+6CYVS1aHNGHMgRbWIiI+qS1Xns2ZgGWnKRVg4GFMgNbWIiI+iYQWLIHJfUqIwYWygyS/1edLSxERNFpCwSW5N7kkoGFMkTglJCa3GoQEaWbVv9NLhlYiBKAp4SIiPqm9aT2nMQOtwADC2UMdrolIuoTtrAQJRBbWIiI+ia0020SMbBQZmELCxFRdNjpliiB0viGX0REScVTQkSJxD4sRERRE4KdbokSin1YiIii527RbqYIANmDk1oVBhbKEGxhISKKWqDDrTkbMNuTWhXe/JAyQ2CkW7awEBEBAISrBcqxz+E7+jmU44fgO3EUvpP1UBoa4Gtqhq/FDeHxQPYVonBCDpIbVxhYKFNIHOmWiPrGveMtyCYD5MJiyHmDIFlzAaM52dXqTPFCNNfBd+Qz+I4dhFJ3BL6TdfCdOgmlsQm+0y1QHE74WjzwORUobgkQkVyQYIX4xMLAQpQYPCVERNFr3fgQDi/7XViZbFQhGQHZAEhGGZJJhmQ0QDYbIJlMkMwmyBYzJLMZktUK2WKBZLFAspghW6zatNWqTVtt/nkbZKsVkiXLX6Y9w2iC5GuDaD4BX91hKCeOwXfyBHwNDVCamuFrboPS0g5fmw8+J6B6I+3pEWx1NlglGO1GGHIsMObZYSjIg7GwEMaCfJx+eydc+49BHjkhpse1LxhYKDOw0y0R9UH7zh2dylSfDPgAJVjif3gBtCesbuFCgookYLTJMGSbYcy1wpiXA0NhAYzFRTAOKoGhZCiM5cNgGDIKxpIhkEymbrfqkR+Aa/9aGMuGJmAfesbAQhmCLSxEFD2loQEAUHhZJQat+jPU5iaoTSehtjVDtDZDtDVDdbZAtLVAuFqgutognE6IdifUdidEuwvC7Ybq8UF4vBBeRZv2Kdq0V4HwCQhFhVCEfxratKp9ZAlVgmQIaQXJtcNYkAtDURGMgwbBOLgchtKhMFacAUP5GTDk50OSY3NNja9e63RrHJTcS5oBBhbKFGxhIaI+8J12AACMRYWQLRbIg0uBwaWJq4AQSR340ndSG4PFODj5gYWXNVOGYAsLEUVPaW4DABiKkzQGSZJH6dYDSwq0sDCwUGZgCwsR9YGvVeuTYiwpT3JNkiOVTgkxsFCGYAsLEUXP16p1rTWUDklyTRJP9XigNDcDYGAhShy2sBBRlISiQGnXPjOMFSOTXJvEU/yngySTCYb8/ORWBv0MLNXV1ZAkCYsWLdLLhBBYtmwZysvLkZWVhalTp2LXrl09bue5557DhAkTkJ+fD7vdjvPPPx9PPvlkf6pGFE5iCwsRRUepP6oPrGasODPJtUk836lTAADDoGJIKXDH+z4HlpqaGqxZswZjx44NK1+5ciUeeOABrF69GjU1NSgtLcWMGTPQ0tLS7bYKCwuxdOlSvPvuu/j4449xyy234JZbbsFrr73W1+oRdcCRbokoOsrRzwAAslmFZM9Lcm0Sz+e/pNtYVJzkmmj6FFhaW1sxb948rF27FgUFBXq5EAKrVq3C0qVLMWfOHIwZMwbr16+H0+nEhg0but3e1KlT8c1vfhPnnHMOzjzzTCxcuBBjx47FO++805fqEXWWAv8dEFF68R07CAAw2jKz94QeWAoLk1wTTZ9+CgsWLMCVV16J6dOnh5UfOHAAdXV1mDlzpl5msVgwZcoUbNu2LaJtCyHw+uuvY+/evfjqV7/a7XputxsOhyPsQdQ9nhIiougo9UcBAMbsFLxvUAIoDY0AAENxUZJrool64LiNGzdix44dqKmp6bSsrq4OAFBSUhJWXlJSgoMHD/a43ebmZlRUVMDtdsNgMOCRRx7BjBkzul2/uroay5cvj7b6lKnY6ZaIouSr177TDDlZSa5JcvgaAy0saRhYDh8+jIULF2LTpk2wWq3drtexc44QotcOOzk5OaitrUVraytef/113HXXXRg5ciSmTp3a5fpLlizBXXfdpc87HA4MHZr8ex1QqmILCxFFx3fKP2hafk6Sa5IcyiktsBiKUuOUUFSBZfv27aivr8f48eP1MkVR8Pbbb2P16tXYu3cvAK2lpaysTF+nvr6+U6tLR7IsY9SoUQCA888/H7t370Z1dXW3gcViscBisURTfcpkbGEhoigpjacBAIbC/KTWI1l8jdopIWNRarSwRNWHZdq0adi5cydqa2v1x4QJEzBv3jzU1tZi5MiRKC0txebNm/XXeDwebN26FZMnT46qYkIIuN3uqF5D1D22sBBRdIL3EUr+oGnJoOhXCaVGYImqhSUnJwdjxowJK7Pb7SgqKtLLFy1ahKqqKlRWVqKyshJVVVWw2WyYO3eu/pobb7wRFRUVqK6uBqD1R5kwYQLOPPNMeDwevPLKK3jiiSfwu9/9rr/7R6RhCwsRRUlxOAEAhkTe7DCFBFpYDOkYWCKxePFiuFwuzJ8/H01NTZg4cSI2bdqEnJzgOcBDhw5BDrn1dVtbG+bPn48jR44gKysLo0ePxlNPPYXvfve7sa4eZSy2sBBRdHytHgCAsSzz+kcKRYHS1AQgdS5rloQYGJ/gDocDeXl5aG5uRm5ubrKrQ6nmuduBjzcCM1cAk+9Mdm2IKA3sGTMawifhzD/+DuYLpia7Ognla2jA/ku+AkgSRu/8GJIx5u0buki/vzNzNBzKPBJHuiWiyKmO0xA+7XPDMCQDh+X3918x5OfHNaxEIzVqQRRvskF7Vn3JrQdRmhIeN45866toP+6AbJQhmSTIRgMkswGSyQjZbIRkNkE2myBZzJAtZkgWC2SrFZLVCsmaBTnLBslmh5xlh2TLhmzLhmTPgWzLgWTPh5SdCzk7H5ItB5LBkNT99R3ZBwCQDAJyUUVS65IMit5/JTVOBwEMLJQpDP6RKhVvcutBlKbcNZvRuj8wonigpVKJ2/tJsoBkBGSjBMkoQTbJkMwGyCYDJIsJssmohSKrCbLFAslqhWy1Qs7KgmSzQbb6w5EtG5I9G7ItB3J2rhaK7PmQsvMg5xRAsmR1eesO5cgBAIAxS4IkZ97JCN+p1Bo0DmBgoUyhBxZPcutBlKZ8/i9wc56EsqX/D6qrDcLVBtXphGh3QW13+Z/dEO3tEG4PVI8bwu2F6vFCeLxQPT4IrwLVq0B4VQivCtUnIBRAVQCoweAgVAnCA6geQLu6T0EwILlit2OygGwAZCO0ViOTDMkkQ3i1UGawZ+bXpNKYWoPGAQwslCkYWIj6xXf8MADAVGSDbdatsX8DISDcLghnM9TWZojWZqhtDghni/+5DWpbC4TLCdXZCtXlgnC5oLa3+4OSRwtLHg9UtxfC44PqUSC8PqheFapXQPgEVC8glJAWFVWCqgKqF/4cpCLYggSYy1LnCzuRfA2BQeNS407NAAMLZQqeEiLqF1/9cQBxHKZekiBZbZCsNsiFZb2v3w9CVSFcrRAtTVBbmqG2BQJSC0SbA2pbq7bc64X9m3EIZ2kg0MJiZAsLUYKxhYWoX3wnA19gBUmuSf9JsgzJngvYc2HIzDHhehXow2JIoT4smdeTiDKTwaQ9M7AQ9YnSdBoAYByUmcPUZxr9Ts3FDCxEiRVoYfExsBD1he+0Nky9sTTzLvHNRIq/D4shRUa5BRhYKFPwlBBRv/hatJvRGsqHJbkmlAipdqdmgIGFMoV+SoidbomiJgR8Tu0uLsYMHPU106hOJ4TTf+NH9mEhSjCjRXtmCwtR1NSm41C92qXAxuGjk1wbirdA64pktUK225JcmyAGFsoMPCVE1Ge+A/8GAEhGATk/dcbloPhQGgKj3BZC6mIU4GRhYKHMwFNCRH3mO7wfAGC0G1LqC4ziIzBonCGF+q8ADCyUKdjCQtRnvqP+++rkZiW5JpQIvoZTALQWllTCwEKZQW9hcSe3HkRpyFd3DABgLIjTKLeUUvRLmlNoDBaAgYUyBYfmJ+oz38l6AKk1TDvFjz5oXApdIQQwsFCm4Ckhoj7zNZ4GABhLOI59JtBbWFIsoDKwUGZgp1uivvG54WtsBQAYyzhoXCbwBa4SSrFOt7z5IWUGA8dhIeqNevoEPB+8DvfH78K9bw88h47DfaodHocW+I1DzkhyDSkRFAYWoiTiKSEinXL0MygtzVBP16PlL0+hfe9ncNc1w+tQAXS8bNkfVnIMsF48LeF1pcQLDByXapc1M7BQZuApISIAQNszv8ahZWsB0dV4KhIMFsBcYodleAUsZ58L89iLYTlnLIzlQyAZDAmvLyWWUBQoTU0AUu+yZgYWygz63Zp5WTNlLuFsQd2qP2hhRRaQAFgrspB76XhYxl4Ey/hpMAw5k4PDZTDl9GlAVQFJgqGgINnVCcPAQpkhEFhULyAEwA9kykBNKxfB0wQYrMCZW7bCUFAEGPg1QEGBDreG/HxIxtT63Uit2hDFS+CUEADseAKQjSGhRQqfBvzzodPoMC1F+fqO2+rt9R231WE9yQBUXAiY7b3tOREAwHf0M5z8yz8BSBh0w5UwFJcku0qUgpTG1LykGWBgoUxhtAKSDAgV+NsPk12b2DhjCnDTi8muBaWJk//zA6heCZZBBuQvrEp2dShF6Zc0p9igcQADC2UKkxWY+Qvg8ze1U0IAABE+Dfjnu5tGh+m+vF5E8fqO5f55rxNo+gJo/DyyfaeM5/rnqzj97gEAEkp/9ENIJnOyq0QpKnBJM1tYiJLp4vnaI93VfQL83yXsQJzhHOuq4P1iPyRLFuSsLEhZNkhZNshWGySbHbItG5ItB7I9B6d+8RMAEnLPzYNt9m3JrjqlsMCdmo1FxUmuSWcMLETpxugfBI+BJWO53ngOR+97MurXFf2/n8WhNjSQKIH7CLGFhYj6TR8Ej4ElU7l3bg+bt4+0Q6gqhEeB6lUgfCqEV0D1CQgFUBUguzIflouvSFKNKV0EWlgM7MNCRP0W2sLCS7QzkmHQ4LB5c8VglK59JUm1oYHE13AKQGq2sPDmh0TpJhBYIADVl9SqUHK4P6kNm29+jx2wKTaCd2pOvRYWBhaidBO4kSPAfiwZSG1tRu7c25HzpbxgmYetbBQbgfsIpdqNDwGeEiJKP8aQwMKbOWYE4fOhZd0KHH3wme7X8Xp4uTL1i+p0QjidANiHhYhiQTZoI90KhS0sGaBxxR048dRb3S43F0go/MZkhhXqt0DrimSxQLbbklybzhhYiNKR0aINIOdrT3ZNKAqnH7objc+8BEgSJFmCZJQhGWRIRiPaDrQCAGwjC2DMt0EymSCZTDj9zv4ut2U/Mxflv98A45AzE7kLNIAFBo0zFhWl5A0wGViI0pHBrAUWnhJKK41/fhnuBrXHdZyfNwFo6nVbpb96kGGFYsqXwh1uAQYWovRktGrPPCWUVhSnD4CEkpumwzT8TMDjgvC4IdpdOP36dqjtHuSOHw5AgfB6IDweCEUAqgTh80B4fRAeL7ImToZ5zORk7w4NMPqgcYWpd0kzwMBClJ6MgcHj2MKSLoSiQPGfwcv+5i0wj74wbHneALknJ6Uv36nAfYRSs4WFlzUTpSMDh+dPN6LpOISi9Qswlo9Mcm2IOvM1BvuwpCIGFqJ0FLi0mcPzpw3fMW1wN0kWkHLyelmbKPGCg8al5ikhBhaidBS4nxBbWNKGUncIAGCwySl5BQYRW1iIKPZ4x+a0IlxOePZ8AgAw2ExJrg1R1/QWloLUbGFhp1uidGRgp9t04ftiNz6f/U0obq1VxZBt6eUVRMkRHJY/NQMLW1iI0hEva04bnl3v62FFkgVyvzoxyTUi6kyoKpQmbfwfAy9rJqKY0S9rZmBJdYaSoQAA2SRwds17gJUdbin1qA4HoCgAAGNBQZJr0zW2sBClI/2yZp4SSnWG8jMAAKpXggD7r1Bq8jVqrStyTg4kc2rel6pfgaW6uhqSJGHRokV6mRACy5YtQ3l5ObKysjB16lTs2rWrx+2sXbsWl156KQoKClBQUIDp06fj/fff70/ViAY2XtacNgyDhwKSAAD4jh9Icm2IuhYY5dZQmJqtK0A/AktNTQ3WrFmDsWPHhpWvXLkSDzzwAFavXo2amhqUlpZixowZaGlp6XZbb731Fq6//nq8+eabePfddzFs2DDMnDkTR48e7Wv1iAY2XtacNiSjUW8QU44fTG5liLqhd7hN0SuEgD4GltbWVsybNw9r165FQci5LiEEVq1ahaVLl2LOnDkYM2YM1q9fD6fTiQ0bNnS7vaeffhrz58/H+eefj9GjR2Pt2rVQVRWvv/56X6pHNPDxsua0YrAZAABK3eEk14Soa4r/lFCqDssP9LHT7YIFC3DllVdi+vTpWLFihV5+4MAB1NXVYebMmXqZxWLBlClTsG3bNtx+++0Rbd/pdMLr9aKwh57Kbrcbbnfww9rhcPRhT4jSlH5KiH1YEq1928s4fs8SCJ8K2WyAbDZCspj8z2bIFjPkLCvkbBsMBcUwV54DSdauElJO1SW59kRdU5r8LSwpfEoo6sCyceNG7NixAzU1NZ2W1dVpf4wlJSVh5SUlJTh4MPKm0J/85CeoqKjA9OnTu12nuroay5cvj3ibRAMK7yWUNK53NqG9zuufUwD0Fho361NKw8l4VYuoXwKdblN10DggysBy+PBhLFy4EJs2bYLVau12vY7DTgshIh6KeuXKlfjjH/+It956q8f3WLJkCe666y593uFwYOjQoRG9B1Ha42XNSZM963vAo5sAAKU3TYOcmw/V2QrhckF1uaC2u6A6XVDb2uFraoa3wQnVq0I2y7BNuya5lSfqhtKQ+p1uowos27dvR319PcaPH6+XKYqCt99+G6tXr8bevXsBaC0tZWVl+jr19fWdWl26cv/996Oqqgpbtmzp1Jm3I4vFAouFI0ZShuJlzUljGj1Bn1aaT6Ngyeok1oYoNnz6KaHUbWGJqtPttGnTsHPnTtTW1uqPCRMmYN68eaitrcXIkSNRWlqKzZuDTaAejwdbt27F5MmTe9z2fffdh5///Od49dVXMWHChB7XJcp4eqfb9uTWI0PlT9Jac5u2bE9yTYhiQ+90WzhAOt3m5ORgzJgxYWV2ux1FRUV6+aJFi1BVVYXKykpUVlaiqqoKNpsNc+fO1V9z4403oqKiAtXV1QC000A//elPsWHDBowYMULvC5OdnY3s7Ox+7SDRgMR7CSVV3rXzcPpfv4TqFlCdrZBt/Jyi9KY0pn6n25iPdLt48WIsWrQI8+fPx4QJE3D06FFs2rQJOTk5+jqHDh3C8ePH9flHHnkEHo8H3/72t1FWVqY/7r///lhXj2hg4L2E4s53cA+aH/kplFPHOi3LmjkXRpuA6pXQ9vwfklA7otgRQsCX4vcRAgBJCCGSXYlYcDgcyMvLQ3NzM3Jzc5NdHaL4+uQvwLP/AYy4FLj5pWTXZkD64mvj4DrmgSQLnP3xTkjG8GH16269HE3/PIi88WUof/qNJNWSqP+U5mbsmzgJAHD2xx9BTvDQ/JF+f/NeQkTpiJc1x137Ce3YClVCw93fxelf3oEvvjYOp5beBOXEQeTM+jYAoGXnMYh2ZzKrStQvgVFu5ezshIeVaPBuzUTpiAPHxZ0pV4anSWuAPvnybgC7AQCuv7yPk3+5HLnnDwIkAdUjoe1vjyH7OwuSWFuivlPS4HQQwBYWovRk8J+eyMDAojadgHf3B/Ad3g+1qR7C5+39RX2gtKsAgJxxZbAM7jyEgqP2JCC08aVaXno+LnUgSgSffwwWY0HqdrgF2MJClJ4y9Coh36E9+OzKa6B6QwailATMeQYMWrgAudfPj8n7CFWF6j/bVrL8PphGj8fJxd/DqRc/AAAMf3ApTj/5Bzg+qoNQJLiPnIrJ+xIlQ/CS5tRuYWFgIUpHGTpwnHv7W+FhBQCEBM9pFUeX/xanVj8M+wWjYb94MrKmfQuG0hF9eh/R0gShau8jD64AABRXPQrbJY/DPGYSTGeeB9sVN6DkxEG0/un/YJ00rT+7RZRUgfsIGYoYWIgo1jL0lFDggzWrwozhr22HaGuGUncATb/+CRr+cQTuBhXuLf9G45Z/Q/rFWhRfPR5ZF02GZfI3YCw/I/L3qT+iTUgCcv5gbdJogn32f4WtZygZjrw7q2Ozc0RJEuh0a0zh+wgBDCxE6SlDO90KZxsAQDLIkIxGSHlFkPOKMHjNFhQePwjn8/+H1n++C+f+engdwMkXdgAv7IC54BGM/Edtp0uTXe++Dvf7m6GePAzZaoKckw+lzQnvEW2cKIMFkGR29aOBjaeEiCh+MrSFxTRiJADA09D5lgTGsuHInV+N3PlaH5TT9y/C6ZffRPsJHzxNKvaOPQ+SQQACgCRBMslQnD0PQ2W08yOSBj6l0d/pNoVHuQV4lRBResrQTreWi6YDAHxtgHKy8wi0AZIso2DxQzhj606U3zkHklFAqBJUrwzVJ0P1SsGwIgOmHBmWUhtsI3KRPboIuReUoeCSESj92T2J2C2ipPKxhYWI4sYQckpICECSel4/jQi3G75TdRAtjRBuJ+T2Bki2bEglZ0HKLoDRLuBrk+D+4A3Yrrih1+3lLfgFcm5ZAt9nOyFggGQ0As7TUI7uBUxWWGfeCMlgSMCeEaWmwH2EGFiIKPYMIX0xFE+wT0uaU04cxmeXz4Ti6mktLZy5P34/osACALItG+bzLg4vHP+1vlWSaAAJvY+QMcUDC08JEaWj0IAygE4LeT/9KCysyCYVkkHtvKIkYBpRmbiKEQ1QaksL4NUGX2QLCxHFniEksPjcgCWn+3XTiGXi12EtvQftdV7YR+Vi2EvvAdA60Yp2J0SbA8LpgGTNgqFkeJJrS5T+AqeDZJsNsiW1W2rZwkKUjmQZkP3/bwygGyBKRhPK/nc5AKDts2YIVWtdkWQZsi0bhkHlMA4fzbBCFCN6h9uioiTXpHdsYSFKVwYLoPoAJf0Di3fXv9D6whOQTAbUrd+iFQoJ0gDqTEyUivRRblP8kmaAgYUofRnNgLct6cPzi/Y2CFVAstqiHmRNbTqBz6d9BV5n548iox0D6uonolSULqPcAgwsROlLv7Q5eS0sJ+bPRuMb+/R5SRaQDPA/JO3ZKEMyypD9z5LRAMmkXV7csqsRXX0MFVw6EiW//1sC94QoMykN6XFJM8DAQpS+TFbt2dt51NdEadv5edi8UCUIFYA3tFT1PyIkAaVrX45B7YioN4FTQqk+yi3AwEKUvoxZ2rOvx0FL4kMIiNYG+BxeABKG/vRWWC+5Ujs95HJCbW/Tp0W7E8LdDuF2QbS3Q/W0Q7S3Q7jdEB432vd/hrbd9bCUZsFcUoTca29O/P4QZajgKLfsdEtE8WLyBxZv4gKL8Hhw5LtT0bavEUKRAEgwWAH7t34AyWpNWD2IKDaCo9yyhYWI4sXoDwi+xJ0S8mzfgtbdTQiMNisZBMoW3cywQpSm9E637MNCRHEj++9/oyoJe0vTeRdDNgqoPgnlP/gm7HNug7F8RMLen4hiS29hSYOrhDhwHFG6CtxPSPUl7C3l7AJkjykFADg2vcGwQpTGhBB6YDEWMbAQUbwERrpNYGABgOK7fgJIAq37muF67emEvjcRxY7a1gaRJvcRAhhYiNJXkgKL5cuXI/f8MgBA02OPJPS9iSh2lIYGAIBks0FOg35oDCxE6SrQh2X/ZuCDR4F/vwB88Q5QtxNo/BxoOQG4WwE1ijFQIlTwn4sAAM21jTh5z39AuJM3FgwR9U1wlNvUv0IIYKdbovRlzdee97ykPXpismkPsx0wZwNm/7TJ7i+zaeUmm//OzwIoqtRCkcHkf41df33WpTOQfc59aN3dgFPPvQvhugmDH3wm3ntMRDGkNKXPjQ8BBhai9DX1J0B2CdB6AnA2As4GwHkKaHcAXifgaQ2u63VqD+epmLy1BGDIWOCUnINTu3LQ8PeP0frp1ZDMFkhmMySLBZLZBNligWTyz1vMkMzm8DKzGZLFX2Y2+19vCs5bLN2UadvizRGJ+k5hCwsRJUTeEGDaT7tfrqraKLgef3jxOgFPmzbt8U972/xl/nU8bcBnbwA2fwc8oQI+t38d/8M/sq4kAXlnOHHq39mAkODe/2kCdjqcHlz8IUYOnfeHJr3c5F9mMgVf12napE/LXa3jD1WyxQzJaoVksUD2P0d740eiZPMF7iPEFhYiSipZDp7GwaDYbVdV9PBi9rRh1M1H4W23Q/h8EB4PVLcbwu2B8HggPO5gmcejlbvdEN5Amdc/RL+2rhp4nb9M9YSs4y8Lpb3OA7S2dlPZxJFMJi3EWC2QLf5nswWS1QrZaoHUU5lFm+62zGr1z4dMW60MSdQvSqPW6TYdLmkGGFiIKFqyAbDmag8ApuJRMCXorYUQEF5vWKgR7pCg01VA8riDr/F4ILxeqCHTWrk3fJ2wZcFp1evfZns7VLcb8AWv0BJebRtoaUGihvKTTKZOISYYbALBqasyf8uQ2RKctgTLAiEptAVJD0kGQ4L2juJNb2FJg0HjAAYWIkojkiRBMpsBsxnIzk52dbRWJbdbC0jt7VDb3f4bPbr1af3Z7YYIK3NDdbd3WxZcFrJ9txvwBm+FrYek1taEhSSYTHoA0kOM1QLZmqWFm6zAs1Ury/KHJmtW57Ism386tMz/elOiYnDmSqdB4wAGFiKiPpOMRkhGI2S7PWHvKRSlQ0hq10+ZBUNSN2Xt2h2y1fZgABLt7V2WqR5/wGpv1wcXAwB4vVATEZKMxvDg01UYCpnuHIaytFAVeE1YePLPWy2QjJn7NejTb3zIPixERBRjksGgDfRlsyXsPcNCkrtDsAkNTu3tUF3tEO0uqK52qO0uCFdgWU9l7RBOJ9T29uC4QT4f1NbWuAcjyWTSgpDF0ikQhbccdSgLbRmyWDu3EAWCUWA+BYNRYOA4trAQEdGAkKiQpPdRcrm0EON/Vl2ursNQaJnTpZ1GCw1D7e7wgORyaQHL5Qq+p/+0WuyHV+wgcCqtqxaj0P5G1l46YHfog6R3yg5sz9+y1Nsl/0JV4QuMw5IGw/IDDCxERJQiQvsoGfLy4vY+QgitxSgQhDq2Dukhyd05GPUQgtT2kBakQDASQnvTRJ1KAwBJ0sOQnOU/XZalDb8v2bK0liKTSe80zsBCRESUgiRJ0lsl4kkIoV1lFmgx8oejsBYjd3tIi1EvnbJD+xaFlul9kTyBN4ZwOqE4nb2GI8OgYshmc1yPQ6wwsBAREcWBJEmQLBbAYkEiLgYXPp8WYlxafyDV6fKfQtMewuU/neZyQXU5IVztsH/lkgTULDYYWIiIiAYAyWiEIdsIZCfuqrVE4jCJRERElPIYWIiIiCjlMbAQERFRymNgISIiopTHwEJEREQpj4GFiIiIUh4DCxEREaU8BhYiIiJKef0KLNXV1ZAkCYsWLdLLhBBYtmwZysvLkZWVhalTp2LXrl09bmfXrl341re+hREjRkCSJKxatao/1SIiIqIBps+BpaamBmvWrMHYsWPDyleuXIkHHngAq1evRk1NDUpLSzFjxgy0tLR0uy2n04mRI0fil7/8JUpLS/taJSIiIhqg+hRYWltbMW/ePKxduxYFBQV6uRACq1atwtKlSzFnzhyMGTMG69evh9PpxIYNG7rd3kUXXYT77rsP1113HSwWS1+qRERERANYnwLLggULcOWVV2L69Olh5QcOHEBdXR1mzpypl1ksFkyZMgXbtm3rX007cLvdcDgcYQ8iIiIamKK++eHGjRuxY8cO1NTUdFpWV1cHACgpKQkrLykpwcGDB/tYxa5VV1dj+fLlMd0mERERpaaoAsvhw4excOFCbNq0CVartdv1JEkKmxdCdCrrryVLluCuu+7S55ubmzFs2DC2tBAREaWRwPe2EKLH9aIKLNu3b0d9fT3Gjx+vlymKgrfffhurV6/G3r17AWgtLWVlZfo69fX1nVpd+stisYT1dwns8NChQ2P6PkRERBR/LS0tyMvL63Z5VIFl2rRp2LlzZ1jZLbfcgtGjR+Puu+/GyJEjUVpais2bN+OCCy4AAHg8HmzduhW/+tWv+lD9yJWXl+Pw4cPIycmJeWtOXzgcDgwdOhSHDx9Gbm5usquTVDwWGh6HIB6LIB6LIB4LTaYdByEEWlpaUF5e3uN6UQWWnJwcjBkzJqzMbrejqKhIL1+0aBGqqqpQWVmJyspKVFVVwWazYe7cufprbrzxRlRUVKC6uhqAFmr+/e9/69NHjx5FbW0tsrOzMWrUqIjqJssyhgwZEs3uJERubm5G/MJFgsdCw+MQxGMRxGMRxGOhyaTj0FPLSkDUnW57s3jxYrhcLsyfPx9NTU2YOHEiNm3ahJycHH2dQ4cOQZaDFygdO3ZMb5EBgPvvvx/3338/pkyZgrfeeivWVSQiIqI0I4neerlQnzgcDuTl5aG5uTljEnJ3eCw0PA5BPBZBPBZBPBYaHoeu8V5CcWKxWHDvvfdyIDzwWATwOATxWATxWATxWGh4HLrGFhYiIiJKeWxhISIiopTHwEJEREQpj4GFiIiIUh4DCxEREaU8BpY+2rdvH2bPno3i4mLk5ubikksuwZtvvqkvb2howOWXX47y8nJYLBYMHToUP/jBDyK+15EQAldccQUkScJf//rXOO1FbMTrWNx+++0488wzkZWVhUGDBmH27NnYs2dPvHenX+JxLBobG3HnnXfi7LPPhs1mw7Bhw/DDH/4Qzc3NidilPonX78SaNWswdepU5ObmQpIknD59Os570n/xOhZutxt33nkniouLYbfbMWvWLBw5ciTeu9MvvR2Ljz76CNdffz2GDh2KrKwsnHPOOfjNb37T63Y/++wzfPOb38SgQYOQm5uLa6+9FidOnIjnrvRbvI5FXV0dvve976G0tBR2ux0XXnghnn322XjuSsIwsPTRlVdeCZ/PhzfeeAPbt2/H+eefj6uuukq/Y7Usy5g9ezZefPFF7Nu3D48//ji2bNmC73//+xFtf9WqVSlxi4FIxOtYjB8/Ho899hh2796N1157DUIIzJw5E4qiJGK3+iQex+LYsWM4duwY7r//fuzcuROPP/44Xn31Vdx6662J2q2oxet3wul04vLLL8c999yTiN2IiXgdi0WLFuH555/Hxo0b8c4776C1tRVXXXVVWv99bN++HYMGDcJTTz2FXbt2YenSpViyZAlWr17d7Tbb2towc+ZMSJKEN954A//85z/h8Xhw9dVXQ1XVRO1a1OJxLADge9/7Hvbu3YsXX3wRO3fuxJw5c/Dd734XH374YSJ2K74ERe3kyZMCgHj77bf1MofDIQCILVu2dPu63/zmN2LIkCG9br+2tlYMGTJEHD9+XAAQzz//fCyqHRfxPhahPvroIwFAfPrpp32ubzwl8lj86U9/EmazWXi93j7XN14ScRzefPNNAUA0NTX1t7pxFa9jcfr0aWEymcTGjRv1sqNHjwpZlsWrr74am8rHWF+Pxfz588Vll13W7fLXXntNyLIsmpub9bLGxkYBQGzevDk2lY+xeB0LIYSw2+3iiSeeCCsrLCwUf/jDH/pX6RTAFpY+KCoqwjnnnIMnnngCbW1t8Pl8+P3vf4+SkpKwO1mHOnbsGJ577jlMmTKlx207nU5cf/31WL16NUpLS+NR/ZiK57EI1dbWhsceewxnnHFGyt6RO1HHAoA+AqbRGPO7a/RbIo9DqovXsdi+fTu8Xi9mzpypl5WXl2PMmDHYtm1bzPcjFvpyLADtd72wsLDb5W63G5IkhQ2yZrVaIcsy3nnnnZjuQ6zE61gAwFe+8hU888wzaGxshKqq2LhxI9xuN6ZOnRrjvUiCZCemdHXkyBExfvx4IUmSMBgMory8XHz44Yed1rvuuutEVlaWACCuvvpq4XK5etzubbfdJm699VZ9HinewiJE/I6FEEI8/PDDwm63CwBi9OjRKdu6EhDPYxFw6tQpMWzYMLF06dIY1jy24n0c0qWFRYj4HIunn35amM3mTuUzZswQt912WyyrH1ORHouAbdu2CZPJJDZt2tTtOvX19SI3N1csXLhQtLW1idbWVrFgwQIBIOOOhRBa69vXv/51AUAYjUaRm5vb62vSBQNLiHvvvVcA6PFRU1MjVFUVs2bNEldccYV45513xPbt28Udd9whKioqxLFjx8K2efz4cbF7927x17/+VXzpS18Sd9xxR7fv/8ILL4hRo0aJlpYWvSxZgSXZxyLg9OnTYt++fWLr1q3i6quvFhdeeGFUX+6xkCrHQgghmpubxcSJE8Xll18uPB5PPHa3W6l0HJIdWJJ9LLoLLNOnTxe33357zPe3J/E4FkII8cknn4hBgwaJn//8573W4bXXXhMjR47Uv/xvuOEGceGFF0b8+xQrqXAsfvCDH4gvf/nLYsuWLaK2tlYsW7ZM5OXliY8//jgeu5xQDCwhTp48KXbv3t3jw+VyiS1btnQ6ZyqEEKNGjRLV1dXdbv8f//iHANDlL6QQQixcuFD/gws8AAhZlsWUKVNiuau9Svax6Irb7RY2m01s2LChz/vVF6lyLBwOh7j44ovFtGnTEh7ahEid4yBE8gNLso/F66+/LgCIxsbGsPKxY8eKn/3sZ/3fwSjE41js2rVLDB48WNxzzz1R1yXwO1FSUiJWrlzZr32LVrKPxaeffioAiE8++SSsfNq0aQkPsvGQeifAk6i4uBjFxcW9rud0OgFovftDybLcY6904b9tk9vt7nL5T37yE/znf/5nWNl5552HBx98EFdffXWv9YqlZB+Lnl4X7Wv6KxWOhcPhwNe//nVYLBa8+OKLsFqtkVQ9plLhOKSKZB+L8ePHw2QyYfPmzbj22msBAMePH8cnn3yClStXRrQPsRLrY7Fr1y587Wtfw0033YRf/OIXUdcFAN544w3U19dj1qxZUb2+v5J9LLrbrsFgSOkrpiKWzLSUrk6ePCmKiorEnDlzRG1trdi7d6/40Y9+JEwmk6itrRVCCPHyyy+LRx99VOzcuVMcOHBAvPzyy+Lcc88Vl1xyib6dI0eOiLPPPlu899573b4XUrwPS7yOxWeffSaqqqrEBx98IA4ePCi2bdsmZs+eLQoLC8WJEyeSsq+9idexcDgcYuLEieK8884Tn376qTh+/Lj+8Pl8SdnXnsTz7+P48ePiww8/FGvXrtWvsvjwww9FQ0NDwvczEvE8Ft///vfFkCFDxJYtW8SOHTvE1772NTFu3LiU/J0QIrJjETj1MW/evLDf8/r6en07XR2LRx99VLz77rvi008/FU8++aQoLCwUd911V8L3MVLxOhYej0eMGjVKXHrppeK9994Tn376qbj//vuFJEni5ZdfTsq+xhIDSx/V1NSImTNnisLCQpGTkyMmTZokXnnlFX35G2+8IS6++GKRl5cnrFarqKysFHfffXdYE/aBAwcEAPHmm292+z6pHliEiM+xOHr0qLjiiivE4MGDhclkEkOGDBFz584Ve/bsSfDeRScexyJw+qOrx4EDBxK7gxGK199Hd30EHnvsscTtXJTidSxcLpf4wQ9+IAoLC0VWVpa46qqrxKFDhxK4Z9Hr7Vh09/MdPny4vk5Xx+Luu+8WJSUlwmQyicrKSvHrX/9aqKqawD2LXryOxb59+8ScOXPE4MGDhc1mE2PHju10mXO6koTwtz0SERERpSiOw0JEREQpj4GFiIiIUh4DCxEREaU8BhYiIiJKeQwsRERElPIYWIiIiCjlMbAQERFRymNgISIiopTHwEJEREQpj4GFiIiIUh4DCxEREaU8BhYiIiJKef8fSCd/dBfL6E0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "ready for next HD center? 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 5339 generated a noncontiguous district.  nPlans still only 1028\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "ready for next HD center? 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 5321 generated a noncontiguous district.  nPlans still only 1030\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "ready for next HD center? 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 5431 generated a noncontiguous district.  nPlans still only 1032\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "ready for next HD center? 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "oh darn, the regional plan for tract 5263 generated a noncontiguous district.  nPlans still only 1048\n",
      "working on tract 5420\n",
      "working on tract 5340\n",
      "working on tract 5280\n",
      "all done creating regional plans for region number 5  =  Delaware\n",
      "we had a total of 74 4 jiggy and nonjiggy regional plans triggered by county 20\n"
     ]
    }
   ],
   "source": [
    "print(\"And now Delaware County. Now using piecut for mopup partial\")\n",
    "mC = 20 #main county = Delaware \n",
    "currentRegionNo = 5\n",
    "pairedCountyList = [50, 58, 79]  #Morrow, Marion, Union  (Knox-Licking already a committed pair, Franklin is whole]\n",
    "altPairingList = [ [16,79, 87], [16, 50], [10, 45, 48, 50]]\n",
    "ppC = -999  #a default flag to not draw a whole district in any neighboring counties\n",
    "#ppC = pairedCountyList[0]  #primary paired county (e.g. Wood = 86)   #n/a for this region\n",
    "#ppCmaxPop = countyPop[ppC] % avgDistrictPop  #the max population from the primary pairing county that can be used in a straddling district\n",
    "targetRemnantPop = avgDistrictPop * (countyDistricts[mC]%1.)  #the natural pop left after filling whole districts in main county\n",
    "luringCountyList = pairedCountyList.copy()\n",
    "luringList = list()\n",
    "forcedTractList = [ ]  #no forcing tracts needed for Delaware; will find the north / west tracts\n",
    "\n",
    "for c in luringCountyList:\n",
    "    for tt in countyTractList[c]:\n",
    "        luringList.append(tt)   #these tracts in nearby counties \"lure\" HDs which contain them to center straddler HDs\n",
    "forcedGeom = countyGeom[mC]   #default; we do not force any tracts to be in the original HDPoly's of straddler districts\n",
    "if len(forcedTractList) > 0:\n",
    "    forcedGeom = tractCP[forcedTractList[0]]\n",
    "    for T in forcedTractList:\n",
    "        forcedGeom = forcedGeom.union(tractCP[T])\n",
    "\n",
    "countyStraddlerList[mC] = get_straddlers(targetRemnantPop, countyPop[mC], countyTractList[mC],\n",
    "                                         luringList, forcedGeom, HDPoly, tractCP, tractPop3)\n",
    "mC_EnsnaredPop = 0.\n",
    "for t in countyTractList[mC]:\n",
    "    if t in countyStraddlerList[mC]:\n",
    "        HDtype[t] = \"straddlerMaker\"        \n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\"x\", label=\"generated a straddler HD\")\n",
    "        mC_EnsnaredPop += tractPop3[t]\n",
    "    else:\n",
    "        HDtype[t] = \"notAstraddlerMaker\"\n",
    "        plt.scatter(HDCPx[t],HDCPy[t],marker=\".\", label=\"not a straddler generator\")\n",
    "plotPoly(countyGeom[mC])\n",
    "plt.show()\n",
    "\n",
    "print(\"I will now build the HDtractList (and the resulting regional plan) for each possible straddler HD spawned in county\",mC)\n",
    "print(\"Unlike Lorain, we will pie-cut to form the whole inCounty district, then pie-cut straddler + pairing\")\n",
    "#Because following HDPoly shapes leads to a lot of funky district shapes due to uneven population density\n",
    "nJiggy = 0\n",
    "nNonjiggy = 0\n",
    "for t in countyStraddlerList[mC]: #for Delaware, do a pie-cut for every straddler tract\n",
    "    if t%20 == 0:\n",
    "        print(\"working on tract\",t)\n",
    "        \n",
    "    targetPop = avgDistrictPop * ( countyDistricts[mC]%1 ) #we hope to catch this tract in the nonwhole pie slice \n",
    "    tolerPop = 0.03 * targetPop\n",
    "    ANGLE = -999 #let the pieCut function orient the cut (perpendicular to the line from tract centerpoint to county PCP)\n",
    "    smallSliceList = debug_pieCut2(t, targetPop, tolerPop, countyTractList[mC], tractCP, tractPop3, ANGLE) \n",
    "    smallSlicePop = 0.\n",
    "    bigSlicePop = 0.\n",
    "    for tt in smallSliceList:\n",
    "        smallSlicePop += tractPop3[tt]\n",
    "    if 2 * smallSlicePop > countyPop[mC] :\n",
    "        print(\"oops,\",t,\"was excluded from small slice, so redo the cut to capture the big slice\")\n",
    "        bigSliceList = pieCut2(t, avgDistrictPop, tolerPop, countyTractList[mC], tractCP, tractPop3, ANGLE) #hoping big slice excludes t also\n",
    "        bigSlicePop = 0.\n",
    "        for tt in bigSliceList:\n",
    "            bigSlicePop += tractPop3[tt]\n",
    "            if 2 * bigSlicePop < countyPop[mC]:\n",
    "                ohno = input(\"we cannot seem to slice this pie right.  What now?\")\n",
    "    if bigSlicePop > 0. : #we resorted to the second cut, which is the whole District\n",
    "        smallSlicePop = countyPop[mC] - bigSlicePop  #need to update since we used the alternate pie cut\n",
    "        nonstraddlerList = bigSliceList.copy()\n",
    "        inCountyList = []\n",
    "        for tt in countyTractList[mC]:\n",
    "            if tt not in nonstraddlerList:\n",
    "                inCountyList.append(tt)\n",
    "    else:  #our small-slice cut correctly has the target tract\n",
    "        inCountyList = smallSliceList.copy()\n",
    "        nonstraddlerList = []\n",
    "        for tt in countyTractList[mC]:\n",
    "            if tt not in inCountyList:\n",
    "                nonstraddlerList.append(tt)\n",
    "    mopupPop = avgDistrictPop - smallSlicePop\n",
    "    mopupCounty = pairedCountyList[1]  #using \"1\" here works whether [0] is a ppC or not\n",
    "    minDist = countyGeom[mopupCounty].distance(tractCP[t])  #pick the closest county to mop up the remaining pop to fill the district\n",
    "    for cc in pairedCountyList:\n",
    "        if cc != ppC and cc != pairedCountyList[1] :\n",
    "            dist = countyGeom[cc].distance(tractCP[t])\n",
    "            if dist < minDist:\n",
    "                minDist = dist\n",
    "                mopupCounty = cc\n",
    "    tolerPop = 0.03 * avgDistrictPop\n",
    "    #mopupList = wedgeSnap(t,mopupPop, tolerPop, mopupCounty, countyTractList,tractCP, tractPop3) #grows a wedge until pop met\n",
    "    mopupPool = countyTractList[mopupCounty].copy()\n",
    "    mCcT = getClosestTract(tractCP[t], mopupPool, tractCP)  #mopupCounty closestTract to the straddler-initiating tract\n",
    "    AnGlE = -999\n",
    "    mopupList = debug_pieCut2(mCcT, mopupPop, snappedTolerPop, mopupPool, tractCP, tractPop3, AnGlE)\n",
    "    for tt in mopupList:\n",
    "        snappedHDpop[t] += tractPop3[tt]\n",
    "        HDtractList[t].append(tt)\n",
    "    \n",
    "    STRADDLER_LIST = inCountyList + mopupList\n",
    "    LISTS = [STRADDLER_LIST,nonstraddlerList]\n",
    "\n",
    "    isJiggy = True  #default; the regional plan has only contiguous districts\n",
    "    for L in LISTS:\n",
    "        if isContiguous(L,neighborList) == False:\n",
    "            isJiggy = False\n",
    "    if isJiggy:\n",
    "        nJiggy +=1\n",
    "    else:\n",
    "        nNonjiggy +=1\n",
    "    if t%99999 == 0 or isJiggy == False:  #debug loop starts here **************\n",
    "        plotPoly(countyGeom[mopupCounty])\n",
    "        plotCenter(t,tractCP[t].buffer(0.02))\n",
    "        #plotPoly(countyGeom[mC])\n",
    "        #for c in pairedCountyList:\n",
    "        #    plotPoly(countyGeom[c].centroid.buffer(0.1))\n",
    "        for L in LISTS:\n",
    "            POLLY = tractGeom[L[0]]\n",
    "            for ttt in L:\n",
    "                POLLY = POLLY.union(tractGeom[ttt])\n",
    "            plotPoly(POLLY)\n",
    "            if isContiguous(L, neighborList) == False:\n",
    "                plotCenter(\"DisCont\",POLLY)      \n",
    "        plt.show()\n",
    "        pause = input(\"ready for next HD center?\")\n",
    "    if isJiggy:  #yes, the plan is contiguous. append the district plans for all districts in this new regional plan\n",
    "        planChoosers.append([])      #blank b/c the straddler-generator would likely NOT pick this plan\n",
    "        planRegionNo.append(currentRegionNo)\n",
    "        planNo = len(planTLnos)\n",
    "        planTLnos.append([])  #start a new plan with a blank slate of districts\n",
    "        for L in LISTS:\n",
    "            dTLno = len(districtTractList)\n",
    "            districtTractList.append(L)\n",
    "            planTLnos[planNo].append(dTLno)\n",
    "            districtPCP.append(get_PCP(L, tractCP, tractPop3))\n",
    "    else:\n",
    "        print(\"oh darn, the regional plan for tract\",t,\"generated a noncontiguous district.  nPlans still only\",len(planChoosers) )\n",
    "print(\"all done creating regional plans for region number\",currentRegionNo,\" = \",regionName[currentRegionNo])\n",
    "print(\"we had a total of\",nJiggy, nNonjiggy,\"jiggy and nonjiggy regional plans triggered by county\",mC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "45d9bfbe-eaa5-495c-a0e6-f3eb21d1a2af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now tracts in current region Delaware vote on their fav plan\n",
      "working on tract 5300 in region Delaware\n",
      "working on tract 5350 in region Delaware\n",
      "working on tract 5426 in region Delaware\n",
      "working on tract 2898 in region Delaware\n",
      "working on tract 2878 in region Delaware\n",
      "all tracts in or near county 20 have voted\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(\"Now tracts in current region\",regionName[currentRegionNo],\"vote on their fav plan\") #Delaware similar to Lucas\n",
    "votingTractList = list()  #we could turn this into a def function, but we are tweaking for each region\n",
    "for t in countyTractList[mC]:\n",
    "    votingTractList.append(t)\n",
    "for pC in pairedCountyList :     #only tracts included in at least one plan can vote, both Lorain pC's can vote\n",
    "    for t in countyTractList[pC]:\n",
    "        foundInAPlan = \"no\"        \n",
    "        for planNo in range( len(planTLnos) ):\n",
    "            if planRegionNo[planNo] == currentRegionNo:\n",
    "                    for dTLno in planTLnos[planNo]:\n",
    "                        if t in districtTractList[dTLno]:\n",
    "                            foundInAPlan = \"yes\"\n",
    "        if foundInAPlan == \"yes\":\n",
    "            votingTractList.append(t)\n",
    "            \n",
    "counter = 0\n",
    "for t in votingTractList:\n",
    "    counter +=1\n",
    "    if counter%50 == 0:\n",
    "        print(\"working on tract\",t,\"in region\", regionName[currentRegionNo] )\n",
    "    minDistance = MAPdiagonal  #default set to a very big number\n",
    "    if countyNo[t] in pairedCountyList and countyNo[t] != ppC:  #non-ppC pairedCounty tracts will often choose a homier district ...\n",
    "        pCno = pairedCountyList.index(countyNo[t])        #below few lines define where that alt HD's center is, pairing it with other counties\n",
    "        altTractList = []\n",
    "        for tt in countyTractList[countyNo[t]]:    #... by creating a list of all tracts in the pC and its alternate pairing choices outside the region\n",
    "            altTractList.append(tt)\n",
    "        for cc in altPairingList[pCno]:\n",
    "            for tt in countyTractList[cc]:\n",
    "                altTractList.append(tt)\n",
    "        altDistrictCP = get_PCP(altTractList, tractCP, tractPop3)  #... and this is the approx center of that alt HD for paired-county tracts\n",
    "        minDistance = altDistrictCP.distance(tractCP[t])     # ... so a regional district's PCP has to be closer than this alternative distance\n",
    " \n",
    "    bestDistrict = -999\n",
    "    for planNo in range(len(planTLnos)):\n",
    "        if planRegionNo[planNo] == currentRegionNo : #only consider districts associated with regional plans for current region\n",
    "            for dTLno in planTLnos[planNo] :\n",
    "                if t in districtTractList[dTLno]:   #.. and this tract can only vote if it's in a district (some pC tracts not drawn in)\n",
    "                    currentDistance = districtPCP[dTLno].distance(tractCP[t])\n",
    "                    if currentDistance < minDistance:\n",
    "                        bestDistrict = dTLno\n",
    "                        bestPlan = planNo\n",
    "                        minDistance = currentDistance\n",
    "    if bestDistrict != -999:   #we found a decent district  (closer than the alt HD for non-ppC paired-county tracts\n",
    "        planChoosers[bestPlan].append(t)  #HDtype[t] = \"inRegion\"+str(currentRegionNo)\n",
    "        chosenPlan[t] = bestPlan\n",
    "print(\"all tracts in or near county\",mC,\"have voted\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6040acc8-6157-4f1e-b0b9-7b9bd5f20f39",
   "metadata": {},
   "outputs": [
    {
     "data": {
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7dzYSm2+++SamTZuGDz/8EFw7vANEdPEFWipY2nkPTa04YkONrwYP7XgIZ6vPwiJYYBWssPAWCLwADhwEXoBXlL1uJGyIxEG9SHQwZUPoDhKbxsMfCF/wURCb1Ioj+nx16Sv833f/F9a6ada02BoTRUjYEK0Q+EGisAtBEG3EF8ixMbfTY7Nnzx6sWrUK77//PlauXEneuSiT6czEf4/4b3hFLzyiBxKTIDIRjDF1ObtbttZmhg0JG6JlyGNDEESE1PhqAABOLvIGmJQwHju4wI2rVbDihu43aGxN9KDkYaIVyGNDEERkVIu1ANonbChhPHbwnCwBJCZpbEl0IWFDtAx5bAiCiJBqfx0AwMFHNi2bZifGFjMvz3gSmaixJdGFQlFEK1AMmyCIyKjxVQEAHIItos9TwnhssQiy4PQEZq8lCuSxIVqB7oYIgogMn18ORVlNkQkbIrZYBSsAwOMnYUN0JKSAi7IdMXKCIMJDFEXk5OTgrrvuChl3u93o1asX5s+fr5FlkaEW6CNho0tUYUMeG6JDocReefqnQhCxRhAEFBUVYevWrdi4caM6np+fj/T0dCxYsEBD69qOL/D7oZTlJ/SFEorySt6EylWiqxXRMso/do7+qRDRJ9E8FNEguDdSaWkptmzZguLiYhQVFRmuN5I/MNvGTB5fXWIL8qR5AzWHEgGS0UTLUCgqpoiiiJEjRyIzMxNvvfWWOu52u+FyuTBlyhQsXbpUQwtji+KhyM7OxsaNG5GbmwvAuB6KaJGfn49NmzYhLy8PBw9+iccefRDdMxhOn94DUfTB7/fAL3khil6Iog+i5IXf7w2M+eXXkg+i5IMo+uFTliUfREmEX/JDlPyBdUT4mR+iJEJkfviZJL/PRIhMhF+SC7SJkOBnDH4mQYQEEQx+xiCBgTEGhsAyGCQGAAwnJA8gcDDR74cuUTw2gByOUkJTRoeEDdEyaiiKfphiAV3YqXtzUwT3RnL0tOLdAR/hrx/8XWuzwkeZTCnICz1S+mhnC9EsJs4EnuMhMUntCZUIkLAhWoY8NjHHCBf2WHuWQj0UB6l7M+TeSDabGXUXffBd9sHZxQwTk3+0BeXBABO4wBgHgeNgAgcBHEwcBwG8+ixw8rIJPAROCLyWl028ID9z8rMQeG3mTYFlE0y8qf5zvKBeFHlOAM8L4DheLvgWeFZepzoz8b1B92r7ZRJNwnEcrIIVtf5a1AVqDiUCHEuQjKGKigqkpqbC7XYjJSVFa3MSh9WDgfJvgWkfAr0Sp+S23mCMYezYsRAEAQcPHkR+fr7u8ku++eYbZGdnY926dapnKS8vD1988QVKSkraLcL+/e9/q92b9+/fD5Op49537dmzBzfffDMKnvklFq17DUkSh7NfVVBvJCLqjCgeAbfHjS0/2YJ+af00sSHa12/KCCVaRvHYCB33IhMPlNDDjh07kJGRgTlz5mhtUiNindTasHtzohFuonRwb6Tv3TAAV/zqClw6XoO1a9dqYTaR4Fj5xJvyTR4bomWeHgBUfQc8+AnQfZDW1iQ0TzzxBNasWQOe53Hw4EH07dtXa5MaESvPkuKhULo3i6KYkN2bw/F6zZo1C++99x6++OILfPblS5h1pAiOv7vx9Vtluv13QRiXH7z1A5yuOo3vdfsekixJAKAmgzOlQCsDzIIZ0wdNx6Cu0b8ORPv6TbfhRMtIgXLmVIcipuzZswerVq1SL+zTpk3T5YU9OKl10KBBUfEsdaTuza3lUym9kXbu3Amn06nW/c4a1RlpZwfq9t8FYVwynBk4XXUa+8/vb3XdFEtKTIRNtKGrFdEyoiJszNrakcAY7cLeMGTUXg9Cc92bH330UUycOBF9+/ZNqGnxLSVKN+qNFCRgqDcS0V6a+jtaPnI5Pjz8IWbfNhtj7hyDyb+ZDEC+ieEC09t2nd6F7d9uV1/rHpYguN1uBoC53W6tTUkslmYytjCFsUv/0dqShOWRRx5hV111FauqqlLH1q1bx5KSktjx48e1M6wJdu/ezUwmE9u+fTsbP348Gzt2LJMkKeLt7dy5kwmCwD7++ONG702YMCFk+0eOHGEOh4Nt2LBBXee+++5jgwcPZh6PJ2IbtOBf//oXA8AGDRrEfD5fs+t9uPv/MVehi937anYcrSMSmUj+jtZ8voa5Cl1syZ4lMbEp2tdv8tgQLaOEogTy2MSChqEHhQceeABvvvmmrkIPsfAstaV7sxGmxYdL+F4v7c87kVhE8ndUJ8pTwY1SwI9mRREtI/nkZ8qxiQnKhX3EiBGN3tu2bRt27NihC1EDNB8yevzxx3HixIkWPxut1gn5+fkYMmQI8vLyMH36dEPWu1HyqbZs2YLhw4dj2rRpzfbpUZI39fEvgEgU2vp3pBTvI2FDGB9JAgK9XijHpmOjeJYKCwsbeZZycnJavDgD0WvuaIRp8S3R0Ov1yiuvoKSkpPmp3DoRtURi0da/I6V4HwkbwvhIQSECDVoqUINE/RANz1K06uAYud5NW71e5LEhYkVb/o6qfFUAAIfZEQ/T2g0JG6J5lD5RgCbCJlp3+YQ+EEURxcXFEAQhxAV+5ZVXhi1U2xLG0RuReb1I0hDRp61/R7X+WgCA3WSPl4ntIyopyDqAZkXFAE+1PCNqYQpjdZWamfHcc8+xTp06sTNnzrDNmzczs9nMPv/8c83sISLnyJEjzG63h8wICndmU01NDcvKymIPPfQQY4yxb7/9liUnJ7OXXnopHqZrwrbArKi89UO0NiUh8fv9bPjw4WzSpEkh4+Xl5axnz55s3rx5GlkWOyL5O/rtzt8yV6GLbfh6Q7PrtIdoX7/JY0O0QJCC1zDWnwgJo4lKW8OFWVlZGD58OADg6NGjuPrqq7Fhw4aQcFRzn21P8rLhicHfH4V6O6ZXOJK/IyHgsfdLTc9g1B1RkUc6gDw2MaCust5j46nW1JRw634Q8actdTF2797NBEFgQ4YMYenp6cxsNjOz2dzqZ9tS7yaR2Lp7JXMVutiUGNWxSaTaQO2ho3iFI/07mvfxPOYqdLFXvnwlJnZF+/pNwoZonrqKemHjrdHUlMcff5w5HA5dFq0jwrswBLvAFaHK8zy76667OsRFJRK27l4RU2HDWMe5qLeEJEls9OjR7JZbbmHdunVjS5bEphCdUVm0exFzFbrYHw78ISbbp1AUET9Cksm0C0UZOWG0oxBOuDDYBa7MyDCbzfjb3/6Gq6++mkKNTaD8O49lKXsK9Rq/jECsUZKGlWnfeoeEDdEC2ufYtLnuB6EJrV0YgmcEff7553j66afxve99DzfffDPsdjskScKOHTtQVlaGmpoajY5Chyh1pGIIXdRlYl1GwMg5TTbBBqB+dpTeIWFD6JoOnTBqMFq6MCh1cIYOHYpf/epXmDx5Mvbv34/bbrsNPp8PqampEAQBoihi6tSp2hyALolPHRsj1waKBvHwChs5UVmpX2MUYUM5NkTzhOTY1MZ99x01YdSIhNscM7jhp5Lb8dBDD6n5NjfddBMbM2YMu+mmm3QzBVfLKcHvf/zfzFXoYr989Xsx20e0G5sajXiXETBiTtOGrzcwV6GL/Xbnb2OyfUoebgYSNjHAU6WbWVGEflEuDL/+9a/Z8OHD2cSJE0MuDIoAuPfee0OEqiRJbOTIkcxutzOe51m/fv3YiRMnWHJyMlu8eLGuZutoNXvobx8vYa5CF/tVjIRNR6wN1JBgsa2wbt26mE1UMGKi8ltH3mKuQheb+eHMmGxfV8Jm2bJlDACbNWuWOiZJElu4cCHLzMxkNpuNjRo1ih06dKjVbZWVlbGZM2ey7t27M6vVyq655hr23nvvhW0LCZsY4K3RRYG+RMTohcGC7Q++MOzbt49xHMeGDBnCkpKS2NGjR1mXLl1YampqiABQjtPlcjEA7Nprr1Wn8SsXlQULFujqzlaLO+2//SO2wibeF3W9oZVX2GjlK97/z/uy53DrL2Oyfd0Im71797K+ffuywYMHhwib5cuXs+TkZPbWW2+xgwcPsnvuuYdlZmayioqKZrfl8XjY9ddfz374wx+yTz75hJ04cYJ9/PHH7MCBA2HbQ8ImBvjq6oVNLX2v0cboNUSOHDnCrFYr43levTDcd999rEePHqxTp07s5ptvZoMGDWJms5nZbDbWv39/Vcjdd999rF+/fozjOAaAWSyWkAupclEZNWpUoztbrUShFnfa7/1jsSxs/hR9YUOhXu0wWvmKnSd3Mlehi/383Z/HZPu6EDaVlZUsKyuLbd++nY0aNUoVNpIkse7du7Ply5er69bV1bHU1FT2xz/+sdntvfTSS6xfv37M6/VGYg5jjIRNTPB764VNTZnW1iQkeom3RyoWGtpvMpnY4MGDWZcuXUIEwPLlyxnHcUwQBPab3/yGmUwmdtVVVzEA7Morr2S33HILGzt2LCsrKwvZX3N3tlqJwnjfab+3SxY20/40NOb7IuKDEXOa/ln6T+YqdLGfbPpJTLavC2GTl5fHZs+ezRhjIcLm2LFjDADbv39/yPo//vGPWV5eXrPb+8EPfsByc3PZAw88wLp168auvfZa9t///d/M7/c3+5m6ujrmdrvVx6lTp0jYRBvRXy9sqi9pbU1Coqd4eyRioSn7m+sH5XQ6WVZWFuM4js2ePZt169aNAWBLlixh3/ve95jJZGI33HADczgc7I477mDl5eUsOTmZmUwm5nQ6WWZmZojA0kIUxvtO+6+7FpGwSSCMmtO079w+5ip0sdvevi0m29dc2Lz++uvM5XKx2lp5lkywsPn0008ZAHbmzJmQzzzwwANswoQJzW7z6quvZlarlf3qV79i//d//8def/11lp6ezhYvXtzsZxYuXMggz4UMeZCwiSKSVC9sKr/T2pqERU/x9pbEQnNenb179zIArGvXrqr9Y8eOZQCYw+Fga9euZWazmb399tsMAHM6naxnz55MEAQ2YcIE1qlTJ/bxxx8zk8nEALC1a9cyh8PBBg8ezACwv/3tbywzM5MlJSWxuro6db/xFoVa3Gn/dddCEjYJhFFzmg5eOMhchS424X+bv463B02FzcmTJ1m3bt1Ccl+aEjalpaUhn7v//vvZrbfe2ux2s7KyWK9evUI8NM888wzr3r17s58hj02cWNxZFjbuM62vS0SEnuLtrYkFxRuTlZXFJk2axPx+v+qdsdvtzGw2s969ezOe59XcGrPZzJKTk9lNN93EHA4Hs1qtDACzWq3sjjvuUPeXlJTEeJ5nFotFFTW33367KrAcDkejO9t4iUKt7rTf3bkgIGyuj+l+iNhj5Jymf1/6N3MVutiYv4yJyfY1FTabNm1iAJggCOoDgBo7P3r0aEShqJtvvpndcsstIWN/+9vfGICw4+WUYxMjlmTIwqbsW60tSUj0GG9vTSw899xzLCUlhdntdnbPPfeoyb9paWmqyMnMzGQDBgxQPaldunRhPM+z//qv/2IOh4PxPM/sdjuz2+3sqaeeUtcxm81MEARmt9uZyWRio0ePZl26dGEpKSnshz/8YSPxFy9RqNWd9rs7f89chS52PwkbQkOOlR1jrkIXG/H6iJhsX9NeUbfccgsOHjyIAwcOqI/rr78eubm5OHDgAPr164fu3btj+/bt6me8Xi927dqFnJycZrf7/e9/H0ePHoUk1ZcPP3LkCDIzM2GxWNpiIhFteJP8bJR29QZCr+0iWqtCm5+fj+9973vo2bMn/vKXv+C6665DXl4eysvL4fV6YbVacfbsWQwZMgRWqxUAcPHiReTm5mLhwoWoqamByWRCnz590LNnTyxatAgAUFVVBUmSIIoiamtrsX79euzcuRN+vx99+vTBpk2bkJOTo1aFjVcPseB2EE6nUx1/4IEHQuyJBepmtWvVRhAw82YAgE/yaWxJmLRXGQWHohiTp3unpqayt99+mx08eJD94he/aDTd+7777mNz5sxRX588eZIlJSWxhx9+mB0+fJj99a9/Zd26dWNLly4N2w7y2MSIgt6yx+bCEa0tSTj0GG9vzYOk5NmMHz9e9daOGjWKde3alfE8r3pounbtyjiOY2lpaSw1NZXxPM9GjBjB+vfvz0aMGMEcDofqlQHArr76amaxWFhqaiqzWCwMAMvNzVWXG9a0UkJDGRkZbNKkSSGhIaPUAgqHd/4+n7kKXeyBwhu0NoVIACKd/VhaWcpchS72vT/Hpp6S5snDDWkobJQCfUqhvZtvvpkdPHiw0WemTJkSMrZ79242bNgwZrVaWb9+/VqdFdUQEjYxYkU/Wdh897XWliQUeoy3h5tHcuTIETUMreTLpKWlsaysLDU5WBlXatU4HA42ZswYdtVVV7HKyko2atSokFA2ANanTx/184qgSU1NZVdddVWj70MRhQcOHFBncimi8M477zRMLaDWeOejJ0nYEFElktmP31V/x1yFLjakaEhMbNKdsNELJGxixP8bIAubs19qbQkRY8L1IO3evZvxPM+Sk5NZz549VWFy5513Mp7nGcdxag4Oz/NqYjAA9sYbb7Dy8nKWkZGhenfS09MZx3GM4zg1F0eZCm6z2dixY8dYUlIS69evH7v99ttVb9DHH3/MysvLWVpaGrPZbOzMmTMsOzubcRzXKM/PqCjCZjoJm4gweoXvWNHWUgkXay4yV6GLuQpdMbnhImHTDCRsYsSz18rC5tT/aW0JEUPC9SApXp2ZM2ey6667ThU1aWlpjOM49sQTT6iC5YMPPmDf//73GQDWq1cvNm7cODZ27Fh27733stTUVHUiAgA2ceJE1UuTkZHBTCaTGqb6/e9/z9atW8ccDgcTBIH17t1bvbNU7jSVCQha1wKKNlt2zA0Imxu1NsWwGL3Cdyxoa6mE8rpyVdj4xOjPPiRh0wwkbGLEmptkYXN0h9aWEBrRVF+oc+fOqUJE8caYzWa1wjAAVlBQwF5++WU1ZKXcHQqCwEwmE/vrX//KHA4HM5lMqpfHbDargmf79u3M4XAwjuPYqVOnWHZ2NgPAkpOTG91p6qkWUDTZsmMOcxW62AwSNu1CLxW+9URb/maqvFWqsKnz17W4biRE+/ptiklGMpE42NLk59pyLa0gNEQQBBQVFWHQoEHw+XzYtWsXli1bps4Eqq2thc1mQ+/evTF37lyYTCb07t0b8+fPR1paGn784x/jvffew913341vvvkGqampsFgsmDVrFrp27Yrz58/D7/ejZ8+eKC0tRXl5OSZPnoxx48bh66+/xlVXXYVx48ahrKwMTz31FD766CPk5eXh4MGDWLBgAbKzs/HEE0+EzOTq27evtl9alGAxmm3V0cjPz8emTZsa/bvpyDSc/djS34zACeqyKImA0OyquqBN072JDog9TX6uK9fSCkJjsrKysHLlSqSmpuK7777Diy++CJ/Ph9GjR0MURWRlZeG+++4DYwz9+/fHu+++C1EUUVdXhzfffBM33XQTdu/eDUmS0KlTJyxduhTHjh1DXl4eRo4cCUAu8VBZWQme53Hy5EkwxtCnTx/87ne/w+HDhyGKIubOnYuXXnoJO3bsQEZGBh5//HEMGjQITz/9dMi07/LycvTq1Qvz58/X+JtrHwwBYcPRfO/2wHFcyL+bOXPmaG2SprS1VILA1ysZP9N/6Q8SNkTLkMeGCJCfn48hQ4bgxRdfBMdxGDZsGD766CPcdNNN+Prrr7Fy5UosWbIEX3/9NdavXw+e51FXV4czZ84gJycHVqsVly5dQnl5OY4fP47nnnsOq1evxo4dO3DVVVfB7/dDFEWYTCY88MAD4AIX882bNwMAysvLcerUqZA7zePHj6OyshKCIOC7775TawFNnDgR6enpWLBggYbfWPtRLjYka+oRRRE5OTm46667QsbdbneLYra1+kwdhUjqZzXy2OidqAS0dADl2MSI9+fIOTYf/F5rSwgdoMTlLRYLKy8vDxnjeZ598803ai2cP/3pT4zneda3b181Zya451N1dTWz2+2sZ8+erFu3buyxxx5jycnJ7O6771bzIZYvX84AsJdeeomNHz+eDR06VN3W+PHjWc+ePVm/fv3YypUr1c/MnDmzydo3RuTt7b9lrkIX+3XRTVqbEjWiMVOprQnBeqzwrRWR1s8aXDSYuQpd7ELNhajbRMnDzUDCJkb8fbksbLbka20JoQN+/vOfq32hlB9Bpa2BIAjspptuYv3791dr4cybN48BYDfddFOjnk+PPPII69WrV0gCo/IDO2zYMJaSksI4jmPDhg1jjDF2+PBhxnEcs1qtbN68eewvf/kLA8Aee+yxRrM8+vfvnxAXr7c+eIy5Cl1spkGFTXMiZt++fYzjOPaTn/xEHWvrTKVwE4KN2lE7FrSnftZ1f76OuQpd7GzV2ajbRcKmGUjYxIg9L8nC5o0pWltCaExTd72ffvppyJjiQVHuBvPz89X+T507d2ZLlixh69atY3a7nQmCwH7xi1806vU0YcIEdtNNN6nTxtetW8cYk+80rVYr43meHT58mDEWeqeZiDOj3vzgN8xV6GIPFQ3X2pSIac670qNHj3bNVAp3yrIeK3wbkRs23MBchS52quJU1LdNwqYZSNjEiP3/Iwub/7lLa0sIDWnqrjcpKYl169ZNHQv2oDBWf3e4YcMGtaKw1+tljMniZejQoc2GBxTPkMlkYqmpqezNN99kPM8zk8nEhg8fHrKucqf529/+Vjdd0qPF/26bzVyFLvawgYUNY017V/bv39+mWipN0ZqY1WOFb6Ny44YbmavQxU66T0Z92yRsmoGETYw49LYsbNZP1NoSQkOauusdO3Ys4ziOffXVV+pYU3fCTXXgbik8EOwZGjduHEtLS2v14peoORRvbJslC5s/52htSrtozrty6NAhBoClpKSECJNw823i1d2dYGzYxmHMVehi37q/jfq2Sdg0AwmbGHFkuyxsXvq+1pYQGtHUXa8ydsMNNzQSEcF3ws0JjpbCA3379g0RPA6Ho8W78kTOofjLtkeYq9DF8g0ubBhr2rvy+OOPM5vNxgCwVatWqeuGk2+TqGJWr9y08SbmKnSxE+4TUd82CZtmIGETI77dIwub1UO0toQwGM0Jjt/85jfNhgd69+7N7HY7q6ysVMcmTJighrKauitP5ByKv2zNZ65CF3vkz8a/sWjoXQkWJldffTUzmUzs9OnTYeXbJLKY1SvDNw5nrkIXO15+POrbJmHTDCRsYsTZL2Vhs/IqrS0hDEZbBUdTniHl4jd06FDWqVOnRnfliZ5DUbz1YeYqdLFZBhc2Db0ro0aNChEmJ06cYIIgsKuvvjqsfJtEFrN6ZfhrsrD5T/l/or5tEjbNQMImRlz6jyxslnbX2hLCQLRXcPj9fnbjjTeypKSkRnflaWlpHaYr8+vvP8RchS42+88jtDYlYpryrpjNZta1a9cQYbJo0SK191hL+TaJLmb1Ss5rOcxV6GLHyo9FfdvRvn5T5WGiZazJ8rOvBjBCxUlCF4waNQp+vx8jRoxo9N62bduwY8cOtbJwUwiCgGuuuQbV1dW47rrrAAC9e/fGtddei4qKCuTl5cXMdj2htFQwckeFOXPmQJIkrFixAgBw/PhxiKKIqqoqXLhwQV2vuroaPM+jqqoKL7zwgjqen58fUkV61KhR8Hg8eOKJJxpVH37jjTdw5MgR/P73v4/DkXUs1L9XA7QvI2FDtIwlqX7ZWxXz3UVaLp1ILHbt2oWNGzciPz8fjz/+OEpLS7Flyxbs27cPw4YNw69//euO0SBSPURjKptdu3ZhzZo1KCwshNPpBCALE1EUMXLkSLVHkdK7aNu2bbj66qvxxBNP4MyZM9iyZQuKi4tRVFQEi8WibldpzLp161Zs3LhRHW8ogojowQX+DTIDKBvq7k20jMkKcALARMBbDdhSY7o75QcrOzsbGzduRG5uLgD6wepoKB4fxhi+/PLLkK7MHUncqh4bje2IFOU8NsW2bdsANO5dtG3bNlx11VW45ZZbUFZW1mwn7qysLBQUFCA/Px9jxoxBSUkJiouLsXfv3hARREQHVdgY4IaCPDZEy3AcYA14bTyx99gAoT9Yyp16U3dtROzQi+eso3dlZmoTTKNKm9ZpGKrq06cPFixYgMOHD6NTp04tnnOlMWteXh6mT5/erAgi2o8SijKCx4aEDdE6lkCejbcybrukHyxt0ZOrv2N3ZTZ+jk1LNBWqAoCqqirwPI+jR4/i1KlTzX6+owtfLTCCsKFQFNE6cfbYAPU/WAMHDsSgQYPoB0sD9ODqV3Iv3n//faxcuRLTpk3Dhx9+2GLicSKR6B6bpkJVwfk2K1euxP3339/iOW8ofPv27RsHyxOLo2VHcbLyJAROgMAL4DkeAic/m3gTOHC4XHcZgDFCUSRsiNaxBO6kvNVx3W0i/mApSZOZmZl466231HG32w2Xy4UpU6Zg6dKlGloYSn5+PjZt2hSS4xKu56y9x9ow92LAgAFwuVxYu3YtHnzwwfYemiEwwt1xNGnrOe/owjcaXKi5gLvevQsSk8Ja38+azpnSExSKIlpHmRkVh1lRCsoP1pYtWzB8+HB19oTRiUWIJ5b5MO1x9bf3WBvmXvTu3RvPPPMMHn/8cZw4cSKi4zEeie2xaUhbznlDEfTKK6+gpKQEa9eu1cBy43Kh9gIkJsHEm+Dq7MLA9IG4utPV6J/WH1emXok+KX3QM6kn+qT0weieozEgbYDWJrdOVKrh6AAq0BdDXp8sF+nb+0pcdtcRyqU31e24pRLyrXHkyBHmcDjYhg0b1LFw+u2EQ3sbDUZyrFSETabor9OYq9DFntgwWmtTYk5bzzlVH44OX138irkKXeyWN27RzAaqPNwMJGxiyFsPyMLmk+fisruO8IPVXLfj9hBtscRYdBoNRuNY/X4/Gz58OJs0aVLIeLhdoI1K4bu/Yq5CF/vdxjFam6IrSPhGj0MXD5Gw0SskbGLIu7+Rhc1H/x3zXXWkH6ymuh23h2iLpWh6zqJxrLH0SumVwnd+yVyFLjZn41itTSESlEQUNpRjQ7ROHGdFtbcUv5GI9jTmaE99jWaOSzSOtWPWNzJ+XhkRPnqpH2V0SNgQraNBHZtEJ1bJ0dESS83VF3nggQeQk5PTJnujeaxGr2/U1gsX62DJwx0dTepHBf4UE+WGEQAlDxNhsHuNHIr6319qbUlCEKvk6Gjkw0SbWBxrtEN48aYtIbU/vTOFuQpd7MnXoh8m6Kh5S0YgFvlyzXHoghyKGve/42Ky/XCgHJtmIGETQ/YVycJmw91aW5IQxCI5Wq8zyWJxrO2dpRWMVhf3cC9cr27JCwib2Fx0EiFvKREFWiwmFzQHCRsdQ8Imhhx8SxY2r/5Aa0sMT6ySo/U4kywWxxoLr5QWF/dwL1zrYyxsGIuvdyBWJIJAa0i8PJOKsBn/v+Njto/WIGHTDCRsYsjhbbKw+eNIrS0hmqCjzCSLpVdKi4t7OBeu9ZvvY65CF5v3WuwuOvH0DsSSRBBowUTTM9kSBy8cJGGjV0jYxJATn8rC5rnrtLaE6MDE0iulxcU9nAvXK5vvlYXN67G96Bg9b4mxxBFojMU3Xy4RhQ3NiiJaR4OWCgQRTDRnaTVFvLtEhztTjMWpCWYidFBPlE7fWrWKSKSZdyRsiNbRoLs3QQQTj/pG8bq4R3LhiuVFJ5H6siWCQIt3jzSjnuuWIGFDtI7isfFVA1J4HWAJwkjE8+LetgtXbC86idRIMhEEWqw9k61R66/Fcfdx7Cndg12ndsEjemK2r1hi0toAwgAowgaQxY01WTtbCCLKNLy4DxgwAC6XC2vXrsWDDz4Y1X0pF66dO3c2unC9+eabmDZtGj788MMg71MgFBWj4mnNiaxHH30UEydORN++fWOy32gTz3MYSxTPZFNs27YtpvsurS7FjRtvDBl7bOhjmOqaGtP9xgLy2BCtY7YDXOCfCoWjiCigp9Lx8XT9tzWkFsu7c629A9Ek3uGbRCIzKRMmvt7H4TA5YDfZAQDV/mqtzGoXJGyI1uG4oARiY/5DJ5pHC5GhSen4JtD7xT2WLRUSpS+b3s+h3uli74Jtd23DWz9+C5/+4lP8c/I/MfKKkQCANGuatsZFCIWiiPCwJAGeCuoXlYAoIiM7OxsbN25Ebm4ugNiLjOCmlmPGjEFJSQmKi4uxd+/euDW11NL13yYMIDC0wjDnUMd0c3RDN0c39bXb4wZAwoZIdCyBOyEKRSUkWomM/Px8bNq0CXl5eTh48KDhmlrGGvI0EFpQ5ikDAHSydtLYksigUBTROr5aoPykvJyUoa0tRMzQonN2otQeiRXx7u4dTlhST/lRRGworysHAKTZ0jS1I1JI2BCtc3IPIHqA5B5AlyytrSFihFYiIxFqj8QMtUBffAgn90kv+VFEbGCMqR4bo4aiSNgQrXN0h/x81RiK9Sc48RYZiVB7JJao30Qc/+6Cw5KlpaXYsmULiouLUVRUpIYlw1mHMCa1/lr4JB8A4wobyrEhWoYx4OD/ysv9b9HWliZgkgSIIpjfD/j9YD4PmOgD/H7A7wUT/YDfB+b3AaIPEP3yst8vvyf65M+KPnk7ol9eJ7ANJomAX5RfS2L9mLquKK+v2CFJgCSBiSLAJECU6sckCZzZgtRfPgZT34Faf3WNUETG+++/j5UrVzZRUyW6JErtkdgSX4+NQji5T5QflZhUeCsAACbepE77NhrtEjYFBQV48sknMWvWLKxevRqA7MZavHgx1q1bh7KyMgwbNgxr1qzBtdde2+x2CgsL8ctf/rLReG1tLWw2W3tMTAgYY/IFNHBxVC6gzO+Xx/xBF1e/H0wU5QurKIa8J1/ARTBRCly8G6wnyc/yBVuSn6sug/1fFcCSwAqLwfCXwHui+swU25Qxian7YUwCRBa4uDN5TGKBY2Hye4wFxpRnyM+MgUmyPlCWIclaizF5Of4/+e3He/oMMte/r7UZIWghMhKlOFw8iHcfHyUsOXDgQAwaNKjJsGQ46xDGQ5kRlWpJNcR0/6aIWNiUlJRg3bp1GDx4cMj4ypUr8eyzz6KwsBADBgzA0qVLMX78eBw+fBjJyc1XrE1JScHhw4dDxowuaqo+/hjnn3kWrLZWFSeMyRd4ebmBYGniGaKo9WEASJWfvjikoQ2R/IExgAt48TmA4+TX4Dh5jA9+j5Pf4wPvcZxck5DjAmPNPPOBHfC8vBz0nrzMB9bj4Sm9hLpzPkhVNdH7WqJEvEVG2yvwdky0DMs1DEs29W8gnHUIY6EKG2uqxpZETkTCpqqqCrm5uXj55ZexdOlSdZwxhtWrV2PevHmYNGkSAKCoqAgZGRl47bXXMGPGjGa3yXEcunfvHok5uqVsw0Z4/v3v2O/IZALH8/KzIIQsQxDksaDl+vUFcIKpwfq8PGYSAF6QL9ZlR8H5a+SLtyCAE3h5PV4IrCd/BiZ5DIIAzmSSl03Kvk3ymGCSx0wmeUwwyfs2meVtCWZwJnPQmFlez2wBzGbZNnXZDJgt4EwWwGQBZ7bI2zWZ5de8CeAFuWqyDi6QlxZOQ91fdmttRiO0EBlUeyQ8lFlR8f73G05YMt6hSyI+KKGoFEuKxpZETkTC5qGHHsJtt92GcePGhQib48eP49y5c5gwYYI6ZrVaMWrUKOzevbtFYVNVVYU+ffpAFEVkZ2djyZIluO6665pd3+PxwOOpb9BVUVERyaHEFF/pGQBAxpNzYXMNkgUBzwfu7vl64SAIsodAEILeC1pPEOQfC0G+SHMCrwoV8Dz9kBgF5e5bZ6eLRIZ++cYv/6596b0ct32GE5ZM9PyoqVOnory8HJs3b8bUqVNRVFSEgoKCkHDb5s2bceeddyZcsnuH9NgUFxdj//79KCkpafTeuXPnAAAZGaG1TjIyMvDtt982u81rrrkGhYWFGDRoECoqKvDcc8/h+9//Pr744gtkZTU9vbigoACLFy9uq/lxgzEG72lZ2DhHjoT1yis1tojQDzpTNoRu+af3EgDgX77yuO0znLBkR8uPstlsWLFiBWbMmIFOnYxZtC5cEsFj06bp3qdOncKsWbOwYcOGFvNfGnoQGGMtehVuuukm3HvvvRgyZAhGjhyJN954AwMGDMALL7zQ7Gfmzp0Lt9utPk6dOtWWQ4k5YlkZWG0twHEwX3GF1uZ0OHRZREypSUK6hgiTfoKz9ZWiSDh9l3bu3NnhejONGzcO3bt3R0FBgdamxJwO57HZt28fzp8/j6FDh6pjoijiH//4B1588UU1+ffcuXPIzMxU1zl//nwjL05L8DyPG264Ad98802z61itVlit1raYH1d8gRogpm7dwFNdh7ijVf8jgogmw82dcdDvxi+S4lMYM9ywZEcLXQqCgGXLlmHy5Ml45JFH0LNnT61NihluryxsUqwdxGNzyy234ODBgzhw4ID6uP7665Gbm4sDBw6gX79+6N69O7Zv365+xuv1YteuXcjJyQl7P4wxHDhwIEQcGQ3fGTkMRd4a7dBdETGmTSIoYVx8ck0DWDhBY0uIO++8E9nZ2Vi4cKHWpsSUCo/xQ1Ft8tgkJyfD5XKFjDmdTnTu3Fkdnz17NpYtW4asrCxkZWVh2bJlcDgcmDx5svqZvLw8XHHFFapbb/HixbjpppuQlZWFiooKPP/88zhw4ADWrFnT3uPTDF9pKQASNlqjqyJiCeaeJ2IEY6isOI2z5w/idJ2cNGzmqEi8HlixYgXGjh2Lxx57TGtTYobisekwoahweOKJJ1BbW4uZM2eqBfo++OCDkBo2J0+eBM/X/6GWl5dj+vTpOHfuHFJTU3HdddfhH//4B2688cZomxc3/OfPAwDMGd1aWZOIJXoqIsZ0OiuKiC8+Xw3Of/clzl74GmfLj+FcxSmcrfkOZ73lOCfW4iwnoZoP/UdiF/Qbdu9I3Hzzzbj11lvx5JNPYurUqVqbExM6nMemKXbu3BnymuM4LFq0CIsWLQr7M6tWrcKqVavaa4qu8F+4CAAQunSJ635FUcTIkSORmZmJt956Sx13u91wuVyYMmVKyBT9joD+ioiRsklkqmov4cy5z1F68V84W3YM56rO4GztBZz1VeKs5MEFHmDNhSMFQPn3kSYxZMKEPuYU3H79rLjZT7TM8uXLkZ2djQEDBmhtSkxQZkWRx4ZohP+iLGxMXbrGdb+UNBuKroqIkccmIaiuvSwLlwtf4Uz5UZRWnsGZ2gso9VfhDPOigm/mBHMABPk9M2PIlDhkCjZ0N6ci094Vmck90T3tSnTvMhDduw2Gw9E5fgdFhM2gQYOQm5vb4qxdI6N4bFItJGyIBtQLm/h6bIDQpNkxY8agpKQExcXF2Lt3b4fqvKu7ImJKig0JG8Py242jsc1/qek3A604AKCTKKEHBGQKTnS3dUKmMxOZqX2R2flqdO86GOnp/cEL9PNrVJYsWYI33nhDazOijl/yo9JXCcDYs6LoLytG1Asbbe66dJU0qxG6KyKm1LGJ715VKEzZPkS/Fx/4LgIchxRJwhVMwBUmJ66wdUYPZw9ckXolruhyLXp0z4YjtRfNfjMwhYWFTS4r9OnTB3V1dfEzKE5UeivV5Q6dY0M0RqqrgxRo8WDqpk3ysJ6SZrVAn00WlVCUNjNcKEzZPiorz6i5MTtz98JsiW/xPIKINUp+jdPshIk3rjygOYQxwH/hAgCAs9nAt9DRPNY0TJrtSCiFxkaMGNHovW3btmHHjh1xz7NhOqhjo7vaPlEiHpWmyyvk6uZOiZGoIRISteqwgfNrABI2MUGZ6m3q1k2zBpVK0uyWLVswfPjwhCxzbjh0IGwA2UMzZMgQ5OXlYfr06QkRplS8UVu3bsXGjRvV8Wh6o9yVcm2qNEYhJiIxSYQZUQAJm5igCpuu8Z0RpdAwafaVV15BSUkJ1q5dq4k9RABJriKrtbBRwpQ7duxARkZGwoQpY+2NclefBQCkUhXgZpk6dSruuOMOdZnjOCxfvjxknc2bN2t2w6dX9PK9KR4bI+fXACRsYkK9x0YbYdNc0uzjjz+OEydOaGITAd14bIDEDVPG0htVXiOHmFN544bs4o3SFbusrKxd29HLhT9eROt7ayuqsDHwjCiAhE1MUHJszBokDofTnZdCUhqhdvfW9sc3kcOUsfRGuWvlad5pgj1q20x0YtUVW6sLf7zQqpu4Eooijw3RCF9Qjk280WPSLBFABx6bqqoqjB07Fr179w4JU65evTpqSbZaEytvVLmnHACQaqbE4XBRumK/8MILUT0XWl3440U0v7e2eLvU5GHKsSEa4j8ve2y0mupN6BXthc28efPQrVs3nD17Fhs3blTDlE888QSSkpIMP+U7lt4ot1qRNT53s4kSfolFV+xYCSY9Eatu4i15uyh5mGgWrZOHCX3CmKTp/pUw5caNG7F8+XI1ybZbt24QRREpKSkwm82a2tgeYp007/ZXAwDSbGlR2V5bMXL4ZcWKFSgqKsLXX38dtW3G6sKvJ2LxvbXk7UqEBpgACZuYoOTYkMeGCIFpW6AvOEzZMMn2qaeewmeffab7u/+WiHXSfLkoV5pNtWlTTdzI4ZfgrtjRJBYXfj0Ri++tJW8XeWyIJpFqaiBVymWpSdgQIeggx0Yh0aZ8xyNp3i15AQCpDm3+ro0eflm+fDneffdd7N69O2rbjJVg0hOx+N6a83YlynRv49ZM1ilq1WGHA7yTkgyJINQmmNoLG6Bxkm3ce2dFEcUb1RTbtm2Lyj7cTAQApCV1j8r2IiH4grR+/XrN7IiEWHXFXr58ObKzszFgwICoblcvxOp7W7FiBcaOHYvHHntMHRMD/8bNvHFD0gB5bKJOfX5NF0O79YkYEMix0cO/i0Se8h0ryjn5+0lN6qGpHUYOvyxZsiTq/85ideHXE7H43prydjEkxm8ACZsoo9aw6UphKKIBkj5CUVSZuu34PNWo4eXzlpbaS1Nb9Bx+KSwsxObNmxstKyhdsaN9kY7WhV+rmWhafW8Nw1xK8nCyRbseh9GAQlFRRssaNoS+YUpLBUHb+4nmkmwfffRRTJw40dAhqVjhrjgJAOAYQ3JyT42tSfzwS0MKCwubXFZQLvzRRpmJNmPGDHTq1Cnq29eaht4upVZTJ5uxj5U8NlGGatgQzRIQNhyv3Z8dVaaODKWzdwoDeEH7+8GOEH7RA0aeiRYuwd4uJRRFycNECFTDhmgOpoSiNBQ28UiyTUT02Nl7yZIleOONN7Q2I6FRZqJNnjwZjzzyCHr21N5b11bC9XadrjyNH7z9A9gEGyyCsfuhkbCJMlTDhmgWxWOjcSiKaDvlNd8BAFK5+M0W0Sr8QoRi5JlobaHSK5cpMXp+DUChqKjjpxwbohmYGMix0dBjQ0SGW+nsbfA7WSIyjDwTLVxI2BDNUi9sKBRlZERRRE5ODu66666QcbfbHXGzSCUUpWWODREZ7trLAIA0waGxJYQW6HkmWrRQhI3R82sACkVFFam6GlK13E/GRNO9DY0gCCgqKkJ2djY2btyI3NxcAEB+fj7S09MjahYpBjw25d8dx382vQCTsxOsyZ1hT+kMR2oXJKd1gcOZrIs6N0Qo5d5A12NLksaWEFqR6DPRlHYKieCxIWETRZT8Gt7hgJBEVYeNTlZWFgoKCpCfn48xY8agpKQExcXF2Lt3LyyWtockympEmAF0qv0P+n/RtMenjplRwSWjik9GjZCCOlMKfJZU+KxpYLZO4OydwDs7w5KUDktKF9hTu8KZ1gWpySlIsppIFMUId+BuNl6dvQn9kegz0UjYEE1CNWwSj/z8fGzatAl5eXk4ePAgFixYgOzs7Ii2VSr0Qh9cxDHhKpyxWWH1V8AhViKJVSGZVcHESbBxPthwGd2ky4AEwAegtvVt1zEzziEZlVwSavhk1JhS4TGnwm9Jhd/WCbB3AudIh8WRBqszFfakFDiS0pCUkorklDQk223geRJFzaF29rYau74H0T4SeSZaIuXYkLCJIlTDJvFQmkUOHDgQgwYNalezSC9kL8/lq3+KiXNmhbzHJAnVVeWodl9EdfkF1Lkvwlt1Cf6qS2A1ZeBqL4P3lMPsKYfV74bdXwmnVIFkVgkTZEGUicvIREAQeQOP6vBsq2Nm1HA21HEOeHg7fIIDfpMDfsEB0eyEZHYCZieYNQm8JQmcLRmCLQkmezIs9hRYHMmwOFNhdyTDnpQGiz1J8wrL0cQtegAOSLVr09mbiA8deSYa5dgQTaJO9aYaNgmBKIoYOXIkLl68GNIsslOnTnC5XJgyZQqWLl3alg0CAHhT4z87jufhTEmHMyUd6NWGGD5jgKcSnsqLqCq/gFr3BXgqLsFXdQlitSyK+LpymDxlsPjKYfZXwyrWwMJq4WC1MEG2SfYU+QBWCYiQH97wzWiIxDjUclbUwA4PZ0cdb4dXcMAn2OE3OSEKdjCTDUywAiYrOLMNMNnBmW3gzVbwFgcEix2CxQaTLQmCLRkWezLMjmTYnamwO5NhtVjiFnpzMz/AASn29LjsjyDiDXlsiCahqd7GQREtmZmZeOutt9Rxt9sdIlpmz56Ne+65B3PmzMG+ffswbdo09OjRI6IEYi4gbLgmhE3EcBxgS4HVlgJr135t+yxjgOiFp6YClRVlqKl0o6aqArXVbniqK+CvrYTkqQK8VeC8VeB81RB81RD8NTD5a2CRamARa2FjNbCxOjhYHRyoA88x8ByDE3Vwog5gZfViKYrUMTNqYEMdZ4OXs8LL2+DjrfDzNvgFO0TBDslkAzM7wEx2wGwHb3GAszggWB0QrE4IVifMVifMdifMtiRY7U5Y7UmwOZJhtTvBCwIAoDJgfIqNhA2RmJDHhmgSEjbGIZxZT7W1tZg/fz5GjhyJtWvXYtu2bRg1ahQ8Hg/27dvX5gRiTpQr/vJmnfzZcRxgssKa0hXWlOh4GX1+Pyqrq1BXXYG6aje8NZXw1rjhq62Ev64KUl0lpLpKMF8t4KsDxDpwfo/8EOvAix4IkgeC6IEgeWFmHlilOthYLeyok71MnDy7TPUyoRJgiJl4quOsqOiTBoCH00ahKCIxoeRhokmoho2xaG3W06xZsyBJEv72t7/h9ttvx9y5c2EymSCKItLS0tq8P8Vjw5vjV7023phNJqSmpiE1NS02O2AMfm8damsq4KmugLemAp7aKnhrq+Gvq4bfUwPRUw3JUw3JWwPmqwG8tYC/Fpy/Bry/TvY4iXUwSXUwSx5YpDpYmAc21MHGPLBxPnV3Ns4HE3yo5mVPTY1J287eBBErSNgQTUI5NsajuVlPSrPInTt3IikpKSSBuHv37pg2bRo+/PDDNuV4dARhE3M4DiarHclWO5I7ZcRkF6IowlNbhbqaKnhqq3C27CzwRT4AIKOt4T6CMAgUiiKaRPHYmCkUZRiam/XUsFnkq6++qiYQv/POO+jbt2+b98VLgVCUSYiK7URsEAQBjqRUOJJSAQBnLbJ4ZaIV6U67lqYRRMxIpORhqu0eJcSqakg1NQDIY2M0gkXL6dOnG72/Z88erFq1Clu2bMHw4cMxbdo0MMbavB+ePDaG5GxFGQCAYw4IVOuHSED8kh81fvn6lQgeGxI2UULx1vBJSeCdVHXYKLQmWmprazFlyhTMmDED48aNwyuvvIKSkhKsXbu2zfviJBI2RuRsldwnSgD1iSISkypvlbqclABtQ0jYRAk1v0bHYahYNHY0MuGIljlz5kCSJKxYsQIA0Lt3bzzzzDN4/PHHceLEiTbtjw8IG8FCEWAjcbFa9thYOLphIRITJXHYYXLAxBv/94mETZRQZ0TpOAylTHHeunUrNm7cqI63p7GjkWlNtCgJxIWFhXAGeeEeeOAB5OTktDkkpYSiBHPb+0wR2nGxVm6AaeONfydLEE2RSPk1ACUPRw2j1LCJdmNHoxI866mhaHnzzTfVWU/BCcTBbNu2rc37FBSPjV7q2BBhUVYnC5sybj8e2LICKdZkpNlSkG5PQRdHKro6U9HNmYrM5E5IsyVD4Ck5nDAWiTTVGyBhEzWMVMMmmo0djUrDWU/BRCJawoEnYWNIeNQLlX+Wb2j9A5IVPLNDgB0mzg4z54BVcMAuOGEXkuAwO5FkTkKyJRnJFju+vnQYF2rPwm5ywm5ywGl2wml2ItniRJo1Gam2JKTZkpFuT0a6IxldnSno4kyBw2yN4VETHYlEmuoNkLCJGkqOjRGmekezsSMRPvU5Nh3HM5YILBw9DU/t4nCh5jxq/NWoE+WHj9VARC1E1AF8LTg+IJR5DyR4IKG8vjm7hPpu7c31UFQal4YJk0zgmBU8s0Hg7DDBBjNvh5W3B4SUAw6zA8mWZEwdcjuG9c6K/EsgEhoSNkSTGCHHJpiGU5wjqctCtA0lFGWi5GFD0TM1Het+/NsW1/GLEspqa3G2ogznq924XFuBstoKlHsq4fZUoNJThSpfJap8Vaj1V6NOrIFHqoZP8sDPvPDgIgY4R4MxhlpRft8r1cIn1cLH6iChDhJXB8Z5VAElP/shoVrVTLWA3F7CH3h4ZPv2f/gJPvvV27H6igiDQzk2RJP4Lhgjxwaon+L8/vvvY+XKlRFV0SXajkDTvRMWk8Cja5ITXZOcAHrGdF/VHg8uVLtxsaYCl2orUVZbibK6KrjrKlHhqUKltxrVPvnx78uHIdn+DRFNh10JAqAcG6IJGGPwn9f/dG+g8RTnAQMGwOVyYe3atXjwwQe1Ni+hESS5eaPZSqEoInKcViuc1m7om976b83vtr2Mv537N2x8YlywiNiQaMKGpntHAam6Gqy2FoD+Q1HRrMtCtA2BUfIwEV8u15UDABymxMidIGJDouXYkLCJAmrV4eRk8Hb99pKJdl0Wom0oHhsKRRHxwu0pBwAkm1Njsv2pU6fijjvuUJc5jsPy5ctD1tm8eTOFuXVOouXYtEvYFBQUgOM4zJ49Wx1jjGHRokXo0aMH7HY7Ro8eja+++irsbRYXF4PjOPWPxQgYpYaNMsV5xIgRjd7btm0bduzYQT9AMYKJInjIopE3kceGiA+VPrkGT6o1NsKmITabDStWrEBZWVlc9kdEB/LYBCgpKcG6deswePDgkPGVK1fi2WefxYsvvoiSkhJ0794d48ePR2VlZavb/Pbbb/Hb3/4WI0eOjNQsTTBSDRtCG5jPV/+CQlFEnKj2y7kTnWxpcdnfuHHj0L17dxQUFMRlfwB5jaIB5dgAqKqqQm5uLl5++WV06tRJHWeMYfXq1Zg3bx4mTZoEl8uFoqIi1NTU4LXXXmtxm6IoIjc3F4sXL0a/fv0iMUszjFTDhtAGFlQMUKBQFBEn6kT5hrKLPT0u+xMEAcuWLcMLL7yA06dPx2WfDYmm18jIoqkttlMoCsBDDz2E2267DePGjQsZP378OM6dO4cJEyaoY1arFaNGjcLu3btb3OZTTz2Frl27Ytq0aWHZ4PF4UFFREfLQCqPVsCHiD/PWe2wox4aIF14md23OcHZqZc3oceeddyI7OxsLFy6M2z6DiaXXyMihtpZs7/DCpri4GPv372/yH825c+cAABkZGSHjGRkZ6ntN8emnn2L9+vV4+eWXw7ajoKAAqamp6qNXr15hfzba+AySY0NohxjkseEE6iVExAeRk4VN9+TOcd3vihUrUFRUhK+//jqu+wVi6zXSItQWLVqyvU6Uy2GnWDtgjs2pU6cwa9YsbNiwATabrdn1GrrlGGPNuuoqKytx77334uWXX0aXLl3CtmXu3Llwu93q49SpU2F/NtoYpYYNoR0sMCNKAgeBp8mIROyRJAmMrwEA9EyNr7C5+eabceutt+LJJ5+M634VYuU1iqZoineYqzXbOXBIMidGB/s2/cLu27cP58+fx9ChQ2EymWAymbBr1y48//zzMJlMqqemoXfm/Pnzjbw4CseOHcOJEydw++23q9v885//jHfeeQcmkwnHjh1r8nNWqxUpKSkhD61QcmxI2BDNIQUtc6RriDhwrqocHCf/y+udGv8w+fLly/Huu++2moYQK2LlNYqVaIpHmKsl25PMSeAT5MepTUdxyy234ODBgzhw4ID6uP7665Gbm4sDBw6gX79+6N69O7Zv365+xuv1YteuXcjJyWlym9dcc02jbf74xz/GmDFjcODAAU1DTOEgVx0OhKLa4HEiOhaSVF8fSH9phkQicqr8EgCASWak2Z2trB19Bg0ahNzcXLzwwgtx3zcQW69RLERTvMJczdmeKPk1QBuFTXJyMlwuV8jD6XSic+fOcLlcak2bZcuWYdOmTTh06BCmTp0Kh8OByZMnq9vJy8vD3LlzAcgqteE209LS1H1ZdN4JWaquBquT45OUPEy0BgPA63AGBZF4nKm8CADgWfxFjcKSJUs0LfoZK69RLERTvGaUNWd7IgmbqBfUeOKJJ1BbW4uZM2eirKwMw4YNwwcffIDk5Pov7eTJk+ATJM9Aya/hk5J0XXWY0BYp6MedhA0RD85VyR4bE2KXN1FYWNjkskKfPn1QF7jx04JYeo2WL1+O7OxsDBgwIGrbDA4VrV+/PmrbbUhTtidK4jAQBWGzc+fOkNccx2HRokVYtGhR2J9pSFN/IHpFza8hbw3RAsE3raRriHhwoVrO1bBwiZEQGilLlizBG2+8EfXtxko0rVixAmPHjsVjjz0W1e0G05TtyebE8dgkhttEQ/wXA8KG8muIFlBmRYHjSNgQceFirSxs7ELiXLCaorCwEJs3b260rKB4jWIREotFqC1eM8oa2k6hKEKFPDZEOEjBHhtKHybiQHmgs7eTOntHjFahtmiEucK1fdW+VXj10KsJJWzIY9NO6oUNeWyI5mGBBphy8rC2thAdgwqv3AAzxZKmrSFEm4nnjLJEa4AJkLBpN+JFeeYBeWyIlmASJQ8T8aUq0AAzLU6dvYnoEq8ZZaqwoeRhQoFCUUQ4BM+KIl1DxINafyXAA53t8esTRYSPXmaUJVqfKIA8Nu3Gf0H22AiUPEy0AFOfOV12AiYSDw+TL1jd4tgAkzAeqrChWVGEAnlsiHCQtKtRRnRQfEpn76T49okijEWFVw5ZkseGAAAwrxdieTkAEjZEK5CwIeKMxFcDAK5IIWFDNA8JGyIE/yW5sifMZghpaZraQugbDavKEx2Qao8HHO8BAPRKpTA50TSMMZoVRYSihqG6dKG8CaJFlOneHLluiDhwqkL+bWKMQ/ckyrEhmsYjeuCTfAASa1YUCZt2ECxsCKJFSPgSceS0W/Ymc5IdFhNNfiWaRglD8RwPh8mhsTXRg4RNO1BmRFF+TfOIooicnBzcddddIeNutxu9evXC/PnzNbIsvnANngkilpytlIWNlp29Cf3j9shFHFMtqQkVdSBh0w78588DII9NSwiCgKKiImzduhUbN25Ux/Pz85Geno4FCxZoaF0cUX40KNmGiAPnqi4DAMwdvAEm0TKKxyY1wYo4ko+yHaihqG7dNLZE32RlZaGgoAD5+fkYM2YMSkpKUFxcjL1798JisWhtXlxIoJshwgBcrJEbYNr4xJnpQkQfxWOTSInDAAmbdkE1bMInPz8fmzZtQl5eHg4ePIgFCxYgOztba7PihtL4kvQNEQ8uBxpgOqgBJtECqrBJoMRhgIRNu6j32EQubERRxMiRI5GZmYm33npLHXe73XC5XJgyZQqWLl3ablu1huM4vPTSSxg4cCAGDRqEOXPmaG1SfCFFQ8QRt6ccAHDWux/Xv/pjWDg7LLwdVsEBu8kJp9mJJLMTSZYkpFqTkWpNQidbMtIdKejsSEZXRyq6Jaci2WJPqNwLIhQKRRGNUHNsukYeilJyULKzs7Fx40bk5uYCSMwclFdffRUOhwPHjx/H6dOn0bdvX61NUom5wAxcHHia7k3EgZ7JPfCvWgBCDTw4Do/yhhh4eJr9aAiMCeAkK3jYIMAOE2ww8w5YBQdsggOOIJGUYklCii0ZadZkdLIno7MjBV0cKejqTEEXZwpspo4RdjYSwcnDiQQJmwhhoqgW6GtvKKoj5KDs2bMHq1atwvvvv4+VK1di2rRp+PDDD3VzNxhrgcmRy4aII8/+4CF8eHQETrnPo6yuEhWeKlR4KlHprUaVrwo1vmrUijXwiDXwSLXwM/khcnVgXJ1a3I/jRECogYQaSAB8AGoBQAo81IHWYZIZHLNBgPwwc456L5IikixOJJuTkGKVPUlp9mSk22Rh1MWRiq7OFHSyOyHwQiy+tg6H4rGhUBQBABAvXwYkCeA4mDqnt3t7iZyDUltbiylTpmDGjBkYN24cBgwYAJfLhbVr1+LBBx/U2jyVWApMjidhQ8SXcf2HRPxZnyjiYk0Fzle5cammEhdrKlBWWwF3XRXcnkq4PVWo8lWjxleFGn81asVaeMRq+KRa+FgtRNRCUkWSHwDA8T4APoiohAjAC6AaqPcieQHUtG4bYxw4ZgXHrAGRZIeZt8HK22HlnbCZHHCYHHCYnUgyO5BskYVSmjVJFkpB3qQuzmTYzdaIvyejQx4bIgRfIAwldOkMLgoFsBI5B2XOnDmQJAkrVqwAAPTu3RvPPPMMHn30UUycOFFXIalEFpgEES5mQUBmcidkJre/anG1tw7fVbpxsaYCF2sqcbmmAmV1lXDXyQKp0lsV8CLVoMZfjTqxBl6pBj7Fi4RaMK4OjPeA4yRwHAO4OjDUwQ83/JAja1UMbQ61AQCTTOCYFTyzQeCUcJtdFkqCHTbBAafZKQslixMpFjnslmZPQid7Mq7slI7MlDQ4zU7YTXZDeZNUYUM5NgQQmxlRes5BiZRdu3ZhzZo12LlzJ5zO+mJhDzzwAN58803dhaRiJTCDD0+SJPA8lZAiOgZOiw39OtvQr3NGu7YjihLK6mpwocqNCzVuXK6txOWaSpTVVqDCW41KbxUqvdWo8VWjxl+DWn816sTagEiqC4gk2YvEOE+QJ8kPwA8J1aHRNQbAH3i0QSjZTXY4TLIYkgVRYNkkLyuvk8xJ6jrNvTYL5nZ9Z63h9pKwIYKItrDRew5KpIwaNQp+v7/J97Zt2xZna8IjFgIz+DxSjT6CaDuCwKOLMwldnEkYiCvavb1qbx0uVFfiYnUFLtfKAulyXRXcgZykSm81qn3yo9ZfgzqxBh6xFl6pVhVKPlYLjvdAMPkgMREAUOuvRa2/FpfqLrXbRjNvDhE7zT2SzEmyYDLJM92UsSRLkvqemW8skio8gRwbqmNDAPXCxhyF4nxGyUHpCMRKYIYkD5OyIQjNcVpscFps6Nsp8pvTaxdsRZVXxM7fjkL3NBOqfdWBkFqNKoqq/fKY8lpd9tcLpypvFWr8NajyVqHaV406sQ4A4JN8KPeUozwwfb892AQbnGYnki3JqvA5V3MOACUPEwHqp3q332NjpByURCZeApORsCEIw+P1S6j2yl6aTg4rbCYzbCYbOts7t3vbfskfIoKUHKQqnyx8VBEUEE3quK8Gld7KJkVSnViHOrGukSfJwlvQ1Z5YRWZJ2ERItBpgGi0HJZGJpcAMnhVFwoYgjE95rReAnD+XbIvupdTEm5BqTY1K7otP8qE6MM1fEUmKl6jKV4WsTllItiRW6w0SNhESrRwbI+agJCKxFpgUiiKIxMJd4wMApNrN4HVczsHMm5FmS0OaLU1rU+IGCZsIoQaYiUXMBWZw8nD7t0YQhMaU18rCJs0e25lLRNuhOacRwCSJGmASbSPYYSORtCEIo1Me8NikORKjOnwiQcImAsTyciBwd2/q3P5EMSLxCcmxIZ8NQRiesho5xybNQR4bvUHCJgIUb42Qng4uQXo5EbFFvxF4giAiQcmxoVCU/iBhEwHRnOpNdDwod5ggjI8yK4pCUfqDhE0E+M/rP79GFEXk5OTgrrvuChl3u93o1asX5s+fr5FlHZOQ2VSkbAjC8NTn2JDHRm+QsIkAIyQOC4KAoqIibN26FRs3blTH8/PzkZ6ejgULFmhoXceD6hARRGJRTqEo3ULTvSPACMIGALKyslBQUID8/HyMGTMGJSUlKC4uxt69e2Gh3CDNkGhWFEEYHgpF6RcSNhHgvxidqsPxID8/H5s2bUJeXh4OHjyIBQsWIDs7W2uzOhxcSAEvEjYEYXQUj00qhaJ0BwmbCKgXNl00tqR1OI7DSy+9hIEDB2LQoEGYM2eO1iZ1SIIrD5PHhiCMD4Wi9Avl2ESA/2IgFNVF/8IGAF599VU4HA4cP34cp0+f1tqcDkmIx4aShwnC8JQH6th0olCU7iBhEwGi0gDTAMJmz549WLVqFbZs2YLhw4dj2rRpmjVh7NAztThqgkkQiUJwZ2+aFaU/SNi0EammBlJNDQBA0Lmwqa2txZQpUzBjxgyMGzcOr7zyCkpKSrB27VpN7KGZWjJUeZggjI070CdK7uxNwkZvkLBpI/5LlwAAnM0GPqgLtB6ZM2cOJEnCihUrAAC9e/fGM888g8cffxwnTpzQxKbgmVqlpaXYsmULiouLUVRUlNAztUJDUdrZQRBE+3EHZkSl2MwQdNzZu6NCwqaN+IPCUHquTbJr1y6sWbMGhYWFcAYJsAceeAA5OTmahqTy8/MxZMgQ5OXlYfr06R1uphaFogjC2CiJw50oDKVLaFZUGzFK4vCoUaPgDzTqbMi2bdvibE0oHXGmFsfV30OQriEIY1OmTvVOXC+zkSGPTRsx0lRvPdPRZmqFhKJoujdBGBplRhRN9dYnJGzaiHhRzrEROnfW2BLjoqeZWvGCekURROKgJA/TjCh90i5hU1BQAI7jMHv2bHWMMYZFixahR48esNvtGD16NL766qsWt/P222/j+uuvR1paGpxOJ7Kzs/E///M/7TEtZqgemy76rzqsR/Q2UytehNYdljSzgyCI9kPF+fRNxMKmpKQE69atw+DBg0PGV65ciWeffRYvvvgiSkpK0L17d4wfPx6VlZXNbis9PR3z5s3Dnj178OWXX+KXv/wlfvnLX2qeC9IU9cKGQlGRoMeZWvGAC6ljo6EhBEG0G+oTpW8iEjZVVVXIzc3Fyy+/jE6dOqnjjDGsXr0a8+bNw6RJk+ByuVBUVISamhq89tprzW5v9OjRuPPOOzFw4EBcddVVmDVrFgYPHoxPPvkkEvNiCuXYRI6eZ2rFmtBQlHZ2EATRfpTkYQpF6ZOIhM1DDz2E2267DePGjQsZP378OM6dO4cJEyaoY1arFaNGjcLu3bvD2jZjDDt27MDhw4dx8803N7uex+NBRUVFyCMeGGVWlB5RZmqNGDGi0Xvbtm3Djh07dD2Fvl1Q5WGCSBjcJGx0TZunexcXF2P//v0oKSlp9N65c+cAABkZGSHjGRkZ+Pbbb1vcrtvtxhVXXAGPxwNBEPCHP/wB48ePb3b9goICLF68uK3mtwvGmNpOQehMwoYIn+BZUUyiHBuCMDJqKMpOoSg90iZhc+rUKcyaNQsffPABbDZbs+s1vOtmjLV6J56cnIwDBw6gqqoKO3bswKOPPop+/fph9OjRTa4/d+5cPProo+rriooK9OrVK/yDiQCpogLMJyt1CkURbSEkx0ZDOwiCaD/lah0b8tjokTaFovbt24fz589j6NChMJlMMJlM2LVrF55//nmYTCbVU6N4bhTOnz/fyIvTyBCeR//+/ZGdnY3HHnsMP/3pT1FQUNDs+larFSkpKSGPWKPk1/ApKeCt1pjvj9AnU6dOxR133KEucxyH5cuXh6yzefPmUDHPB/2pMfLYEISRqa88TB4bPdImYXPLLbfg4MGDOHDggPq4/vrrkZubiwMHDqBfv37o3r07tm/frn7G6/Vi165dyMnJaZNhjDF4PJ42fSbW+A3U1ZuIHzabDStWrEBZWVmz64R4bEjXEA146623MHr0aKSmpiIpKQmDBw/GU089hcuXL0e0vYKCAtxwww1ITk5Gt27dcMcdd+Dw4cMh60RSmoMAfKKEKo9c1Z2me+uTNgmb5ORkuFyukIfT6UTnzp3hcrnUmjbLli3Dpk2bcOjQIUydOhUOhwOTJ09Wt5OXl4e5c+eqrwsKCrB9+3b85z//wb///W88++yz+POf/4x77703ekcaBWiqN9EU48aNQ/fu3Vv0MAKAGKhmwyQxHmYRBmHevHm45557cMMNN+D999/HoUOH8Mwzz+CLL76IuJ7Xrl278NBDD+Gf//wntm/fDr/fjwkTJqC6ulpdJ5LSHER9cT4ASCFho0ui3ivqiSeeQG1tLWbOnImysjIMGzYMH3zwAZKTk9V1Tp48CT7INV9dXY2ZM2fi9OnTsNvtuOaaa7Bhwwbcc8890TavXdCMKKIpBEHAsmXLMHnyZDzyyCPo2bNnk+sxjgMYo+ThBGb06NEYNGgQBEFQO9YvWbIEubm5ePjhh/Hmm2+iW7duePHFF/GDH/wAe/fuxbJly7B69WrMmjVL3U7fvn0xfvx4lJeXR2TH1q1bQ17/6U9/Qrdu3bBv3z7cfPPNjUpzAEBRUREyMjLw2muvYcaMGRF/B4mOEoZKsZmos7dOaXdLhZ07d2L16tXqa47jsGjRIpw9exZ1dXXYtWsXXC5Xo88UFhaqr5cuXYpvvvkGtbW1uHz5Mnbv3q07UQMAolrDhqoOE6HceeedyM7OxsKFC5tdhynhKBI2CU1RURG6dOmCvXv3Ij8/H7/+9a9x9913IycnB/v378ett96K++67DzU1Ndi4cSOSkpIwc+bMJreVlpYGAPj444+RlJTU4mPZsmXN2uR2uwHIxVCB6JTm6Ki4AzOiOjkpv0avUHfvNuC/EPDY0IwooglWrFiBsWPH4rHHHmvyfSkQipJEEjaJzJAhQzB//nwA8uzN5cuXo0uXLnjggQcAAAsWLMBLL72EL7/8Et988w369esHs7nlkMb111+PAwcOtLiOIloawhjDo48+ihEjRqg3me0pzdHRKaumdgp6h4RNG1CShwUKRUWEKIoYOXIkMjMz8dZbb6njbrcbLpcLU6ZMwdKlSzW0sH3cfPPNuPXWW/Hkk09i6tSpjd6XONlBKoqUY5PIBLeZEQQBnTt3xqBBg9QxRUycP38+rFIYAGC329G/f/+I7Hn44Yfx5ZdfNlnJPZLSHB0dJceG8mv0C3X3bgNq8jAV54sIJe9g69at2Lhxozqen5+P9PR0LFiwQEProsPy5cvx7rvvNunOV0JRop88NolMQ+8Lx3EhY4pwkCQJAwYMwLFjx+Dz+dASkYai8vPz8c477+Dvf/97SO5X9+7dAURWmqOjU1EXqGFDwka3kLBpA2ooqhvl2ESCKIqYMmUK+vfvj/z8fJSWlmLLli14/fXX8d133+Gpp57S2sR2M2jQIOTm5uKFF15o9B4LeGz8fn+8zSJ0yuTJk1FVVYU//OEPTb6vJA8roaiWHg8++KD6OcYYHn74Ybz99tv46KOPcOWVV4Zs98orr4xaaY6OBnls9A+FosKEeb0QA3VKTN26aWyNMVE8NtnZ2ejTpw/y8vJw8OBBXHvttWCMJYTHBgCWLFmCN954o9G44rHx+ykURcgMGzYMTzzxBB577DGcOXMGd955J3r06IGjR4/ij3/8I0aMGIFZs2a1ORT10EMP4bXXXsOWLVuQnJysemZSU1Nht9tDSnNkZWUhKysLy5Yta1Sag2hMRa18Y5JiI2GjV0jYhIkShoLZDCEwU4FoO1lZWSgoKMCCBQvwr3/9C3369MHXX3+NvXv3wmIxxiyD4Bl9wcsKffr0QV1dXaNxCkURTbFixQoMHToUa9aswR//+EdIkoSrrroKP/3pTzFlypSItvnSSy8BQKOWNH/605/U/K9wSnMQjaFQlP4hYRMmahiqSxdKrmsn+fn5ePrpp1FZWYmTJ0/iN7/5DbKzs7U2K+aowoaShxOWnTt3Nho7ceJEo7GGHd5/9rOf4Wc/+1nU7Aing7xSmmPRokVR229HoD4URZdPvUI5NmFSP9W7/fk1oigiJycHd911V8i42+1Gr1691Kmiico///lPlJaWQpIkOJ1OvPzyy81+F08++WTCfFdKjo1IOTYEYVgqasljo3dI2IRJNBOHO8LsoOaoqqrC2LFjkZSUBIfDAcYY/H4//vrXv6Jz586qUFG+i0WLFiXMd6Xm2FAdG4IwLKrHhnJsdAv50sLEd/48gOhVHVZyTfLz8zFmzBiUlJSguLjYULkmbUGpYXP+/HmkpKTg/PnzmDNnDj777DN8/PHH8Pv9KC8vx/33348tW7aEfBeJ8l2pHhsfhaIIwqhU1gWSh8ljo1vIYxMm0QxFKeTn52PIkCHIy8vD9OnTsWDBgoTNNREEAQ899BCOHTsGv9+PkSNHYu3atbDZbGrOidPpxP3339/kd5EI35UkCAAA0efV2BKCICKFQlH6h4RNmMRC2HAch5deegk7duxARkYG5syZE7Vt65Hc3FzcfPPNKC8vx/r163HFFVdg69atsNvtsFgs2LRpU7PfRSJ8V6IgO0glb8vF2AiC0CeixFDpUaZ7U8BDr5CwCRNF2JijXMPm1VdfhcPhwPHjx3H69Omobltv7Nq1C59++ikGDx6MX//61zh79iwYY7jqqqswatQo/OpXv4Ldbm/2uzD6dyWpwoY8NgRhRCrr6m9KKBSlX0jYhIn/fPQ9Nnv27MGqVauwZcsWDB8+HNOmTQtrmqZRGTVqFPx+P15//XXs2LEDHMepQubBBx9EaWkp3nnnnSa/i0T4rhSPjUgeG4IwJEpxPodFgFmgy6deoTMTBszvh3jpEoDoCZva2lpMmTIFM2bMwLhx4/DKK6+gpKQEa9eujcr29UbwFPdXX30VNpsNFy9exOrVq+H1enHPPfdg+vTpTX4XifJdsYCwYT6a7k0QRoRmRBkDEjZh4L90GWAM4HkI6elR2eacOXMgSRJWrFgBAOjduzeeeeYZPP74400W9DI6yhT39957D88++yw6d+6MXr16YeHChXA4HBBFEQMGDAAQ+l0cO3YM/fr1Q2lpach3tWTJEsycORMPP/ywlofVJiTVY0OhKIIwIlR12BiQsAmDkKrDgZkt7WHXrl1Ys2YNCgsL4XQ61fEHHngAOTk5hgyzhEPPnj2RkpICxhhMJhN+97vf4dy5c3C73fjtb3+L+fPnq6JO+S5+9rOf4bvvvoMoiti8ebO6rX379sHpdOKrr74yzHclqR4bCkURhBGhqsPGgM5OGPgvRLeGjZJr0hTbtm2Lyj70yJw5c2A2myFJErp06YKnnnoKP/nJT7Bjxw7MnDkTX3zxBaZNm4YPP/wQHMeFfBfPP/98k3VsjDTlm5kCycMkbAjCkFRQKMoQkLAJg1gkDnc0FC/Vzp070aVLFwwcOBCDBg3Cm2++idtuuy1E0DRFfn4+Nm3apHYEN2QdG5PisaFQFEEYEQpFGQMKRYVBLGrYdDQUL9WIESMaTdvetm2bOkuqOfRYx2bq1Km444471GWO47B8+fKQdTZv3qweFyUPE4SxqQ9FkbDRM+SxCYP6PlHRrWGTyCgtFDIzM/HWW2+prwVBwCeffILJkyfjwoULmDJlCv7zn//gvvvuw86dO9X1FdxuN1wuF6ZMmQKv1xsiiPr27avdATaBzWbDihUrMGPGDHTq1KnR+8wk/xhSjg1BGBNlujcV59M35LEJA/LYtJ2GjT4FQcDatWvxySefICkpCX/605/wyiuvYPfu3WCMtdrscsKECbqvYzNu3Dh0794dBQUFTa8QCEWBhA1BGBIlFEUeG31DwiYM/EoDzCh09u5IBDevLC0txZNPPglADitdvHgRn3/+ORhjuHz5MkpLSxutrzTDXLt2Le6//37d17ERBAHLli3DCy+80GRlZGaiUBRBGBkKRRkD8qeFgRE9Ng1DQQrBoZ2lS5fG3A4l6ff222/H/v37MW3aNBw7dkxNAl60aBE+/vhjNXm4qSTh119/vcmaP48++igmTpyoq5DUnXfeiezsbCxcuBDr168PfTMQiuq+Ywt2DtsRGAzNK2qYZcS4wCjHgQGBZw6M4wIrB5aBwLPyXv368ljQdoLHOA6i3YlrF89Dv+xrovIdEESiQrOijAEJm1ZgkgR/lKsOxwMlFJSdnY2NGzciNzcXQH1oZ8GCBXGxQ0n6VWZB/fGPf8TRo0fV13PmzMH8+fNDPhO8/vDhw3Hrrbdi586djWr+vPnmm63OptKCFStWYOzYsXjsscdCxq39rgQ+BZK9NUj21mhkXdMcKixGv9WLtDaDIHRNRZ3sbaVZUfqGhE0riGVlgN8PcBxMnTtrbU6bCA7tNKz/YrFY4mZHw1lQDV/36tUrxLsU/P69996LOXPmYMSIEY22q9eaPzfffDNuvfVWPPnkk5g6dao6PmHuTPxr5DDUuavAZH8KGOSi1kx5EUAekwApsB5jYJIkvykxgElyjhFjYIF1wBgYk8AYAEmSNwIGSEzenxS0TcbAGEPNe3/FVce+APN4YvytEITxoQJ9xoDOTisoYSghPR2c2XgqXev6L0rzyvfffx8rV67ET3/6U3zxxRfqa8XjoniXFi1apK6fl5eHyspK/P73v4+bvdFi+fLlyM7OVttEAADP87j25hs0tKox7371NXDsCzC/qLUpBKF7lFAUeWz0DSUPt4KaOGygMFQwWtZ/adi88sUXX8T+/fvx/e9/v1EScFZWFhYvXowlS5bg3nvvRXV1NS5cuADGGP70pz/FzeZoMWjQIOTm5uKFF17Q2pQW4ZSEZpESmgmiJep8Ijx+2WtKycP6hoRNKxgxcbghDUM/8aJho881a9agS5cu+L//+z+cOHGiUePPkydPwmKx4MSJE5g+fToWLlyIVatWGbYx6JIlS3Q3Jb0hvCpsyGNDEC2hTPXmOCDJQsEOPUPCphXqi/MZU9gooaB413/ZtWsXXnzxRdjtduTl5aktFd5++23ceOONuOaaazBv3jy12eWkSZPwhz/8Aa+88gp27typepf03Bi0sLBQbcwZvKzQp08f1NXV6c7uYDhToKkrCRuCaJH64nxm8Lx+JisQjSFh0wpG7hPVMBQUz/ovo0aNgiiKePvtt7F161acPn1abanQs2dPXH311Vi4cCEAOQl4//798Pv9+Pzzz8HzPL7++mvVu7Rt2za8/fbb6N27d6MZVET74AJtHkA5NgTRIpQ4bBxI2LSC0tnbd6YUlTt3ovbLL+E9fRpSjb6m6zZFw1BQw9BPPGiu6F5RUVGjmVl79uzBc889h/Xr14Mxhttuu031drR1mrooisjJycFdd90VMu52u9GrVy8SSAF4c+BHmnJsCKJF1KrDVMNG95D0bAWptg4AUPHuu6h4992Q9zibDUJ6J5jSO8vPndIhdO4MU3onCMpYejqEdHmMdzjiZndwN22t67+EMzMr2Ls0depUfPvtt1i0aBFWrFiBgQMHtnmaul7q+LSXqVOnory8HJs3b8bUqVNRVFSEgoKCkCTwzZs3484774wo5MULFIoiiHCgGVHGgYRNK3Sd9QhMXbrAf+kSxMuX4S+7DPHSZTCPB6yuDv7Ss/CXng1rW5zNFhA66aoQ4lNTICQlgU9KBp/khJCcDMeNN7a7Zo7STbsp4l3/pWGRvqZmZjX0Li1YsACvvfYa5s+fj7S0tIimqeuljk80aa3RZlshjw1BhAdVHTYOJGxawT5oEOzLQ5saMsbAamrgLyuDeOkS/Jcvy6Ln8mWIl8sgXr4E/+WyoLF6IeQrLYWvtLTFfVoHDEC/d7bE8rDijjIz66uvvsKPfvQjbN26VX3vvffew/PPP4+8vDzVu8RxHLZs2YKBAweirq4Ov/vd7yLar9Z1fKLNuHHjcPToURQUFGDlypXt3h4fqM3EkceGIFpEqTpMOTb6h85QBHAcB87phMXpBHr2bHV9xhik6hqIZQEBdOkyxDJZ9EiVVZCqKiFWVcF3+gxq9++HWFUZh6OIH8FF+hYtWoTt27djw4YNuPfeewEAf/nLXzB48GC8/PLLIZ9TxBDHcThz5kxEPaHC8RYZCaXR5uTJk/HII4+gZxj//lqCD3iueD91HCeIlqBQlHEgYRMHOI6DkOSEkOQEevVqdr2K7dtxZv9+mDqlx9G62NJwZtaAAQMwYMAAzJgxA2PHjm02PNSwYnF7coIa1vHRU9PMSGix0WYbqRc2FIoiiJZwUyjKMNCsKB1xubAIAFD31VcaWxI9mpqZ9fzzz8Pj8eDuu+/G9OnTG4WHojlNXas6PrFmxYoVKCoqwtdff92u7fAW+UeapxwbgmgRZVZUqoOEjd4hYaMjvMePa21CVFFmZhUWFobMzJo+fTpuuukm7N69G926dWsUHorWNHUt6/jEmuBGm+1BUDw2JGwIokXIY2McSNjoiNQ77wAApPzwh9oaEiWUmVlNdebOycmBw+HAiRMnQto8NCeGIqlArIc6PrFk+fLlePfdd7F79+6ItyGQx4YgwkKtPEzJw7qHhI2OkCqrAACWq/ppbElsaSk81JIY2rZtG3bs2BFWnk00BZJeiUajTcEqe2xMJGwIokXUUBQlD+sekp46QiwvBwAIaWma2hFLmkomdrlcWLt2LR588MGo7UdPdXxiyZIlS/DGG29E/HmT1QoAEEjYEESLUCjKOJCw0RGi2w0AEFLTtDUkhjQXHnr00UcxceJEw89YijaFhYVNLisojTYjxRTw2AgSCRuCaA7GWH2BPvLY6B4KRekI1WOTmqqtITGiI4SHjIYpkGMjUIE+gmiWaq8IKfDTRKEo/UMeGx2hemwSNBTVUcJDRsJkMcMPQJBI2BBEcyhhKIvAw2oif4DeadcZKigoAMdxmD17tjrGGMOiRYvQo0cP2O12jB49Gl+1Upfl5ZdfxsiRI9GpUyd06tQJ48aNw969e9tjmiGpz7FJTI8NoT8ENRRFwoYgmiM4DBWPxsFE+4hY2JSUlGDdunUYPHhwyPjKlSvx7LPP4sUXX0RJSQm6d++O8ePHo7Ky+TYBO3fuxC9+8Qv8/e9/x549e9C7d29MmDABZ86cidQ8wyHV1YEFciUS1WND6A+zEopiIoUBCaIZ6oUNBTmMQETCpqqqCrm5uXj55ZdDOgwzxrB69WrMmzcPkyZNgsvlQlFREWpqavDaa681u72NGzdi5syZyM7OxjXXXIOXX34ZkiRhx44dkZhnSER3hbwgCOCTkrQ1hugwmANNMAVJgiiRsCGIpqAZUcYiImHz0EMP4bbbbsO4ceNCxo8fP45z585hwoQJ6pjVasWoUaPaVESspqYGPp8P6enN90zyeDyoqKgIeRiZ4MRhcnUS8cJsk0NRZibCJ0oaW0MQ+kTp7E2Jw8agzX614uJi7N+/HyUlJY3eO3fuHAAgIyMjZDwjIwPffvtt2PuYM2cOrrjiikbCKZiCggIsXrw47G3qnUSfEUXoE2VWFAB4vT7YLeRqJ4iGuGmqt6Fok8fm1KlTmDVrFjZs2ACbzdbseg09DoyxsL0QK1euxOuvv4633367xX3MnTsXbrdbfZw6dSq8g9ApHaE4HxFfpk6dijvuuENd5jgOy5cvD1nnb9s/wH8d/jcAwO/xxdtEgjAEao6NjYS/EWiTsNm3bx/Onz+PoUOHwmQywWQyYdeuXXj++edhMplUT43iuVE4f/58Iy9OUzz99NNYtmwZPvjgg0ZJyQ2xWq1ISUkJeRgZrYSNKIrIycnBXXfdFTLudrvRq1cvzJ8/P672ELHDZrNhxYoVKCsrU8cEk6Au+7wkbAiiKaidgrFok7C55ZZbcPDgQRw4cEB9XH/99cjNzcWBAwfQr18/dO/eHdu3b1c/4/V6sWvXLuTk5LS47f/3//4flixZgq1bt+L666+P7GgMjFbCRhAEFBUVYevWrdi4caM6np+fj/T0dCxYsCCu9hCxY9y4cejevTsKCgrUMY6v/wnwebxamEUQuodCUcaiTX615ORkuFyukDGn04nOnTur47Nnz8ayZcuQlZWFrKwsLFu2DA6HA5MnT1Y/k5eXhyuuuEL9gV25ciV+//vf47XXXkPfvn1Vj09SUhKSOsgMIS1DUVlZWSgoKEB+fj7GjBmDkpISFBcXY+/evbBYLHG3h4gNgiBg2bJlmDx5Mh555BH07NkTEOo9Nn7y2BBEk6idvWlWlCGIegnFJ554ArNnz8bMmTNx/fXX48yZM/jggw+QnJysrnPy5EmcPXtWff2HP/wBXq8XP/3pT5GZmak+nn766Wibp1u0zrHJz8/HkCFDkJeXh+nTp2PBggXIzs7WxBYidtx5553Izs7GwoULAYTmw5HHhiCahkJRxqLdmVA7d+4Mec1xHBYtWoRFixaF/ZkTJ0601wzDo7Ww4TgOL730EgYOHIhBgwZhzpw5mthBxJ4VK1Zg7NixeOyxx0LGfT7y2BBEU1CBPmNBTS90gtbCBgBeffVVOBwOHD9+HKdPn9bMjkQjnNlJmzdvjlv9optvvhm33nornnzyyZBxv4c6fBNEUyjChjw2xoCEjU7QWtjs2bMHq1atwpYtWzB8+HDqtB1DmpqdFG+WL1+Od999N6RwpuijUBRBNIVSoI9ybIwBCRudoKWwqa2txZQpUzBjxgyMGzcOr7zyCkpKSrB27dq42xIr9DStvanZSbFi//79qrdo//79qrdo0KBByM3NxQsvvAAA+K/D/4bfRx4bgmiIX5RQFfBm0qwoY0DCRgcwSYLodgPQRtjMmTMHkiRhxYoVAIDevXvjmWeeweOPP54w+U96mtauzE564YUX4h7yC/YWLVmyJMQrJ3pJ2BBEQyrr6v8uqECfMSBhowOkykpAkvv0CJ3S4rrvXbt2Yc2aNSgsLITT6VTHH3jgAeTk5CRUSCp4WntpaSm2bNmC4uJiFBUVxX1ae8PZSbGgsLAQY8eODVkO9hb16dMHdXV1WHbVNQAoFEUQTaHUsHFaBJgEumQaAZKfOkAJQ3EOB/g4X2BHjRoFv7/pO/Vt27bF1ZZ4kJ+fj02bNiEvLw8HDx7UdFp7c7OTYklTtWwkXq5lQx4bgmiMMtWbwlDGgeSnDqjPr6EGmLFGmda+Y8cOZGRkaDqtvbnZSbGmobeIBaoPSzTdmyAaQcX5jAcJGx2g9YyojoaeprU3NTspHqxYsQJFRUX4+uuvVWEjUvIwQTTCTVO9DQcJGx2gCBtTnISNnmYIxRu9TWtvODspXgR7i1ggFEUeG4JoTH0oijI3jAIJGx0Qb4+NnmYIxRO9TmtvODspXijeoq8qygEAEvWKIohGVFADTMNBElQH+DUIRXXExpfNTWt/9NFHMXHiRPTt2zcm+y0sLGxyWUGZnRRvFG/RXwLiVhQpFEUQDVE7e1OOjWEgj40O0CrHpiM1vuxI09rbwpIlS6ActUSzogiiETQryniQx0YHaCVsjNL4UhRFjBw5EpmZmXjrrbfUcbfbDZfLhSlTpmDp0qUtbqOjTWtXCMdb9O7En6L3sS9xhHJsCKIRyqwoSh42DuSx0QGSUnU4Nf7TvfU0Q6g5OmpOULx4+ssSPHzmNCS/XxdNOglCT9SHosgPYBRI2OgA0V0BAODjLGz0NkOoJfRUNdhotNpdnONwwe/HpPkzAeijSSdB6AUKRRkPEjY6QKyQhY2QEj9ho9cZQi3RkXKCYkkj4cKHemLi2aSTIPROBdWxMRwkbHSAKmxSU+K2TyM2vtRT1WAj00i4cKE/A1o26SQIveGmysOGg4SNxjBJgqR6bOIjbIw8Q8gIOUF6p5Fw4RvnzsSjSSdBGAEq0Gc8SNhojFRVBQRERLxybJQZQiNGjGj03rZt27Bjxw5dJooaJSeo1ZwWaJ+MGyJcuKZ/BoLbLhBER6TOJ8LrlwBQKMpIkLDRGDEwI4qz2eLe2dtIGDEnSEGvybiKcKnyeZt8X6smnQShFxRvDc8BTgt5bIwCCRuNUWZExSsMZVSMmBOkoNdkXEW4HLt0odl1tGrSSRB6QEkcTraZwTcRsiX0CQkbjZEqlBo2JGyaw8g5QYC+k3GXL1+OC9WVcItik+9r1aSTIPSAWsOG8msMBQkbjVFmRPFxnOptNIyaExRMtJNxo5XHM2jQIGSmpOF0C1WHtWrSSRBa46ap3oaEhI3GqKEoDaoOE/Ellsm47cnjWXH3FJgCAujm+xfigadewp5jl3DojBunLtcgtWsmqqprSNwQHQ5F2KTZKf/RSJB/TWNEJRRFOTYJT3Ay7tSpU6O67XHjxuHo0aMoKCjAypUrQ95rtV9URgYODLga7/Udjqf+2rzoclgEJNtMSLaZQ56TLCbYLQKcVgEOiwkOixB4mEKenVYBdosJTosAu0WAReB172kjOjbuGvLYGBESNhojaVCcj9CO5cuXIzs7GwMGDIjqdpU8nsmTJ+ORRx5Bz549w/7sgCvSUAbgv7o58KPBmfiuog6Xq72orPOjss6PWp+cf1PjFVHjFfFdhScqNpt4ThZEigCyCnCYTfJzE8JIWXZaBdjNApxWU+jnA+/bzCSYiOhQXkvtFIwICRuNUftEkcemQxDLZNzgPJ7169eH/TmzVXazZ/dIxg8nf6/R+z5RCogcHyrr/Kio86Gitv51rU9EtccfED5+VQCFLHv8qPGJqPGI8IpyXRC/xFTxFE04DnCYZe+Q3cLDZhJgMwuwmnjYzAJsZh7W4NemwFjg2WaWhZMisOxmU8AbVS+yyOPUMaAcG2NCwkZjlDo28ewTRWjLkiVL8MYbb8Rk2ytWrMDYsWPx2GOPhf8hQQAAMH/TAsMs8Eh3WpDujE6egU+UUOMVUesVUe31y89BwqdpcSQ/V3tE1Pr88nPw571+1PlkwcQYUO0VUe1teqZXtFA8To6A18jeTAiuoSD6rqIOZ8prMbB7Cr7Xp5MsmgKeKid5nHQFCRtjQsJGY0Sa7p1wtJrT0qcP6urqYrLvSPJ4Hl7/Ks6fOY0ivx9Tp05FUVERCgoKQnpxbd68GXfeeWdUEojNAo9UOx/1i4UoMdT6AiLIIwujWp8Ij1+ExyehzieiLmRZfvYEnut8EjyBdWpVYSVvrzYglGq9zXmcIgnPnWlyVPE4OaxyPpIqkBq9Dg7DmdQcJyWHyWk1wWmVc6CcVgEmgeaKtJWKQJ8oEjbGgoSNxkgUiiKiTFvzeLhA4THml+9OlRlWM2bMQKdOnWJmZ7QReA5JVhOSrCYgOXb7acrjVNNgWfU0KSE6X/3yB19/p26rd7oDNd6AByqQyxTscWq+dGLbsZp4JAXEjtNqQpJVUF83HFfGGr8vf8ZuFjqEV6mC6tgYEjpbGqN29qZQFBEl2pzHwwfu5H3y3WlLM6yI2HmcpIDHqT48Jwsk2VPkV1/XBERPjSfovYCYCg7R1XhFVHn8aq8jj1+Cx+/FpeqmW2i0BZ5DqOAJ9hAFBFC9t6j+tfq+JXQ9q0mf4TelpQJ5bIwFCRuNUYVNGgmbRGDq1KkoLy/H5s2b4xLWaY425fEodgQuLO2ZYUVEDs9z6sU/mvhECdUeP6o8svCp8vhQ5RGDxvyoqvOjyisvy+v41feV5WqPLJgYAySGqCZ+m3gODovQwHMUED6Wxt6kpkRVklUpKxA9oUQ5NsaEhI2GMEmCVFkJgOrYJCqxCutENY9H0VeBJGIg8hlWhP4wCzzSHBakOdqf/K14lYIFjyKYarzBY2JADAUJI2/wmLyshN/8EkNFnR8VURJKXKBppVwOIDRPyRGY8RYcaku21YfekoKW1ZYKNhI2RoKEjYZIlZXq3TIJm8TEGGEd+d8gx4cml0Y0w4pIaIK9ShlR2J4oMVQHeYpCxJC3XgDVBImhes9S0PsBURU8M04RX9HIUyKPjbEgYaMhShiKs9vBWahkdyJihLAOkwIumyCPDRDbSskEAcgJ3yk2c9Q8IurMOI9fTegOqaXkrc9bqvH4UamE4YLCburrQHjupis7I81BwsZIkLDRELGc2il0BPQf1mnaYwPErlIyQcSCkJlxUUCSGHhef0nNRMtQYQMNoT5RHYdYNsBsN6xpjw0Q20rJBKF3SNQYExI2GqL0ieKpOF/CExzW0R2seY8NIM+wos7eBEEYBQpFaYjSJ4pq2HQM9BrWeWHKVFx49lmA5+NeKZkgCCLakMdGQ9QaNqkkbDoCug3rSIGeSlRynyCIBIB+yTRECuTYcDYrxMpKSDU1kDweML+fXP8Jih7DOkyUhQ3HN86xIQiCMBoUitIQsUIuzlf+ejHKXy9uvALHASaTnPsgCOAEQV4OHuN5uSQ+H6i0qSzzHMALjceVZYEHxymf5UKXeaF+24KgbosTeHmbAh9YJ7CN4HUD63ACD3B86LqNnvmQ7YY+B+wVhKDn+u1yQuh+G68rP3OCUP++8r01+E4hhN/3hvn94EzN/9lo2QAzYgJNHcljQxBEIkDCRkMcw26Ee8sWME8znYEZA3w+tTCsvu7zE4wgEamKnWARZDJBvHgRzOeDKTMTQkoKOKsVvMUCzmoFZ7OBt1rAWazyuM0KzmIBZzbL2zCb5YfJXL9sNoMzB79nktcNPCAI8vqmgABTlpX3zGZ5H4qNEcKYLGzIY0MQRCJAwkZDUm+7DSk//CEgimCSJD+LYv1rvz/0OfC+uo4oAUwCJEl+nzF5OWScNVqHiaLc7KWpdUQJkMQGzxKYJAJiM88Sq183+FiaW6fhs/KZcPYTsv0mniUp9DsM+r7QUggoSES2JiD9Z8/Cf/ZsNP8ptJ+AOOLNZsBiBm+2qMKqyeeg5bp//UveBnlsCIJIANolbAoKCvDkk09i1qxZWL16NQCAMYbFixdj3bp1KCsrw7Bhw7BmzRpce+21zW7nq6++woIFC7Bv3z58++23WLVqFWbPnt0e0wwDp3gKtDakA9BICAUJIOb3Aw3FoySB+cUgAeYH83oBjgPzeiHVecC8HjCPR86NCryWPB4wjxdMyZfy+eof6muvOgZf0DqiKNvi98vrBr8OWm5E4POBNGD1uS3Q7DyCIBKBiIVNSUkJ1q1bh8GDB4eMr1y5Es8++ywKCwsxYMAALF26FOPHj8fhw4eRnJzc5LZqamrQr18/3H333fjNb34TqUkE0SJKPpLRRSRjAc+VIpK83sbPDcYkrxcIPIeuK4sszmJB2k9/qvWhEQRBtJuIhE1VVRVyc3Px8ssvY+nSpeo4YwyrV6/GvHnzMGnSJABAUVERMjIy8Nprr2HGjBlNbu+GG27ADTfcAACYM2dOJCYRRIdB9fKZTIDNprU5BEEQuiKioPpDDz2E2267DePGjQsZP378OM6dO4cJEyaoY1arFaNGjcLu3bvbZ2kDPB4PKioqQh4EQRAEQXRs2uyxKS4uxv79+1FSUtLovXPnzgEAMjJCG9pnZGTg22+/jdDEpikoKMDixYujuk2CIAiCIIxNmzw2p06dwqxZs7BhwwbYWnCBN6wJwhgLu05IuMydOxdut1t9nDp1KqrbJwiCIAjCeLTJY7Nv3z6cP38eQ4cOVcdEUcQ//vEPvPjiizh8+DAA2XOTmZmprnP+/PlGXpz2YrVaYbVao7pNgiAIgiCMTZs8NrfccgsOHjyIAwcOqI/rr78eubm5OHDgAPr164fu3btj+/bt6me8Xi927dqFnJycqBtPEARBEAQRTJs8NsnJyXC5XCFjTqcTnTt3Vsdnz56NZcuWISsrC1lZWVi2bBkcDgcmT56sfiYvLw9XXHEFCgoKAMji5+uvv1aXz5w5gwMHDiApKQn9+/dv1wESBEEQBNFxiHrl4SeeeAK1tbWYOXOmWqDvgw8+CKlhc/LkSfBBJeBLS0tx3XXXqa+ffvppPP300xg1ahR27twZbRMJgiAIgkhQOKa3VsMRUlFRgdTUVLjdbqSkpGhtDkEQBEEQYRDt6zc1hyEIgiAIImEgYUMQBEEQRMJAwoYgCIIgiISBhA1BEARBEAkDCRuCIAiCIBKGqE/31gplchc1wyQIgiAI46Bct6M1STthhE1lZSUAoFevXhpbQhAEQRBEW6msrERqamq7t5MwdWwkSUJpaSmSk5Oj3nCTaJ2Kigr06tULp06dojpCGkHnQHvoHGgPnQN90JbzwBhDZWUlevToEVK8N1ISxmPD8zx69uyptRkdnpSUFPox0Rg6B9pD50B76Bzog3DPQzQ8NQqUPEwQBEEQRMJAwoYgCIIgiISBhA0RFaxWKxYuXAir1aq1KR0WOgfaQ+dAe+gc6AMtz0PCJA8TBEEQBEGQx4YgCIIgiISBhA1BEARBEAkDCRuCIAiCIBIGEjYEQRAEQSQMJGyIsDhy5Ah+8pOfoEuXLkhJScH3v/99/P3vf1ffv3TpEiZOnIgePXrAarWiV69eePjhh8Pu3cUYww9+8ANwHIfNmzfH6CiMTSzOweXLl5Gfn4+rr74aDocDvXv3xiOPPAK32x2PQzIcsfo78Hg8yM/PR5cuXeB0OvHjH/8Yp0+fjvXhGJbWzsMXX3yBX/ziF+jVqxfsdjsGDhyI5557rtXtnjt3Dvfddx+6d+8Op9OJ733ve3jzzTdjeSiGJVbnAAD27NmDsWPHwul0Ii0tDaNHj0ZtbW3YtpGwIcLitttug9/vx0cffYR9+/YhOzsbP/rRj3Du3DkAcuXnn/zkJ3jnnXdw5MgRFBYW4sMPP8SDDz4Y1vZXr15NrTBaIRbnoLS0FKWlpXj66adx8OBBFBYWYuvWrZg2bVq8DstQxOrvYPbs2di0aROKi4vxySefoKqqCj/60Y8gimI8DstwtHYe9u3bh65du2LDhg346quvMG/ePMydOxcvvvhii9u97777cPjwYbzzzjs4ePAgJk2ahHvuuQeff/55PA7LUMTqHOzZswcTJ07EhAkTsHfvXpSUlODhhx9uW6sFRhCtcOHCBQaA/eMf/1DHKioqGAD24YcfNvu55557jvXs2bPV7R84cID17NmTnT17lgFgmzZtiobZCUWsz0Ewb7zxBrNYLMzn80VsbyISq3NQXl7OzGYzKy4uVsfOnDnDeJ5nW7dujY7xCUSk52HmzJlszJgxLW7b6XSyP//5zyFj6enp7JVXXmmf0QlGLM/BsGHD2Pz589tlH3lsiFbp3LkzBg4ciD//+c+orq6G3+/H2rVrkZGRgaFDhzb5mdLSUrz99tsYNWpUi9uuqanBL37xC7z44ovo3r17LMxPCGJ5DhridruRkpICkylhWslFhVidg3379sHn82HChAnqWI8ePeByubB79+6oH4fRieQ8APK/6/T09Ba3PWLECPzlL3/B5cuXIUkSiouL4fF4MHr06CgfhbGJ1Tk4f/48PvvsM3Tr1g05OTnIyMjAqFGj8Mknn7TNwHbJIqLDcPr0aTZ06FDGcRwTBIH16NGDff75543W+/nPf87sdjsDwG6//XZWW1vb4nanT5/Opk2bpr4GeWyaJVbnIJiLFy+y3r17s3nz5kXR8sQhFudg48aNzGKxNBofP348mz59ejTNTxjCPQ8Ku3fvZmazmX3wwQctbre8vJzdeuutDAAzmUwsJSWl1c90VGJxDvbs2cMAsPT0dPbqq6+y/fv3s9mzZzOLxcKOHDkStm0kbDowCxcuZABafJSUlDBJktiPf/xj9oMf/IB98sknbN++fezXv/41u+KKK1hpaWnINs+ePcv+9a9/sc2bN7P/+q//Yr/+9a+b3f+WLVtY//79WWVlpTrW0YSN1ucgGLfbzYYNG8YmTpzIvF5vLA5Xl2h9DpoTNuPGjWMzZsyI+vHqlVicB8YYO3ToEOvatStbsmRJqzY8/PDD7MYbb2QffvghO3DgAFu0aBFLTU1lX375ZSwOWXdofQ4+/fRTBoDNnTs3ZHzQoEFszpw5YR8HtVTowFy8eBEXL15scZ2+ffvi008/xYQJE1BWVhbSfj4rKwvTpk3DnDlzmvzsJ598gpEjR6K0tBSZmZmN3p89ezaef/75kKQwURTB8zxGjhyJnTt3RnZgBkLrc6BQWVmJW2+9FQ6HA3/9619hs9kiOyADovU5+Oijj3DLLbfg8uXL6NSpkzo+ZMgQ3HHHHVi8eHGER2YsYnEevv76a4wZMwb3338//vu//7vFbR87dgz9+/fHoUOHcO2116rj48aNQ//+/fHHP/4xwiMzDlqfg+PHj6Nfv374n//5H9x7773q+D333AOTyYSNGzeGdRwURO/AdOnSBV26dGl1vZqaGgBolJXO8zwkSWr2c4pm9ng8Tb4/Z84c3H///SFjgwYNwqpVq3D77be3alcioPU5AICKigrceuutsFqteOeddzqUqAG0PwdDhw6F2WzG9u3b8bOf/QwAcPbsWRw6dAgrV64M6xgSgWifh6+++gpjx47FlClTWr2gtrRdQRBaPL+JhNbnoG/fvujRowcOHz4cMn7kyBH84Ac/COcQZML27RAdlgsXLrDOnTuzSZMmsQMHDrDDhw+z3/72t8xsNrMDBw4wxhh777332KuvvsoOHjzIjh8/zt577z127bXXsu9///vqdk6fPs2uvvpq9tlnnzW7L3SwUFS4xOocVFRUsGHDhrFBgwaxo0ePsrNnz6oPv9+vybHqlVj+HTz44IOsZ8+e7MMPP2T79+9nY8eOZUOGDKFz0AThnAcl9JGbmxvyb/r8+fPqdhqeB6/Xy/r3789GjhzJPvvsM3b06FH29NNPM47j2HvvvafJseqVWJ0DxhhbtWoVS0lJYf/7v//LvvnmGzZ//nxms9nY0aNHw7aPhA0RFiUlJWzChAksPT2dJScns5tuuon97W9/U9//6KOP2PDhw1lqaiqz2WwsKyuL/e53v2NlZWXqOsePH2cA2N///vdm90PCpnlicQ7+/ve/NxtLP378eHwP0ADE6u+gtraWPfzwwyw9PZ3Z7Xb2ox/9iJ08eTKOR2YsWjsPzeWK9OnTR12nqfNw5MgRNmnSJNatWzfmcDjY4MGDG03/JmRidQ4YY6ygoID17NmTORwONnz4cPbxxx+3yTbKsSEIgiAIImGgOjYEQRAEQSQMJGwIgiAIgkgYSNgQBEEQBJEwkLAhCIIgCCJhIGFDEARBEETCQMKGIAiCIIiEgYQNQRAEQRAJAwkbgiAIgiASBhI2BEEQBEEkDCRsCIIgCIJIGEjYEARBEASRMJCwIQiCIAgiYfj/CS6egSLYMlgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in pairedCountyList:\n",
    "    for t in countyTractList[c]:\n",
    "        if chosenPlan[t] >= 0 :\n",
    "            plotCenter(\"IN\",tractGeom[t])\n",
    "        else:\n",
    "            plotCenter(\"X\",tractGeom[t])\n",
    "\n",
    "plotPoly(countyGeom[mC])\n",
    "plotCenter(\"mC=\"+str(mC),countyGeom[mC])\n",
    "for c in pairedCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "d97ca629-adc8-4737-82fe-49d81530fc5b",
   "metadata": {},
   "source": [
    "#10/19/22 - current thinking on regional breakouts.  YOU ONLY VOTE ON OTHER DISTRICTS that are IN-COUNTY AND CONSTRAINED (1.x, 2.x, Lucas 3.x)\n",
    "#*** UNLESS SPECIFIED OTHERWISE, Non-straddler HDs pick the pie cut (of all straddler-generated plans)\n",
    "# ...that minimizes their distance to their district's geographic centroid\n",
    "# ** UNLESS SPECIFIED -- free-range counties fill themselves first, then only pull from their immediate neighbors\n",
    "#   NEW THINKING 10/23/22 - In each region, create a number of regional plans triggered by each mainCounty straddler\n",
    "# Every tract in a main or ppC county picks the regional plan that minimizes their distance to their district's POPULATION centroid\n",
    "# Tracts in non-ppC paired counties only vote if a regional plan centers them better than being paired with another rural neighbor county\n",
    "# For each pre-21 election data set, the regional Dem-seat expectation is a weighted avg across all regional plans (smeared for frac seat in each plan).\n",
    "# The weighting is the fraction of voting pop that preferred that plan\n",
    "\n",
    "#Toledo area: all who are pulled into a 5-district area vote on the 5-district plan (3 Lucas, 1 Wood, 1 straddler)\n",
    "# Lucas straddlers: based on max Ottawa + Henry pop.  SW Lucas with Wood 0.11 + Fulton or E Lucas with Wood 0.11 + Ottawa\n",
    "# Wood: straddlers are the 0.11 / 1.11 ensnared by Lucas-centered HDs with the most Lucas pop\n",
    "#  Remainder of Lucas pie-cut into three.  Two lines, avg of vertical and (perpendicular to remnant tractCP's beeline to Lucas GCP)\n",
    "# non-remnant Lucas and Wood pick plan with a district that has it closest to a GCP\n",
    "# Fulton and Ottawa HDs include 0.63 Lucas, 0.11 Wood if their PolyHD had > 0.63/2 Lucas.\n",
    "# They include 0.11 Wood if their PolyHD had > 0.11 / 2 Wood.    Otherwise, free-range excluding these two\n",
    "\n",
    "#Athens area - all snapped HDs start with a full home county, then add whole counties in decreasing fraction of HDPoly use\n",
    "  until need to add a partial to complete a district.\n",
    "  Generate snapped HDs for 1 aDP worth of Athens-area tracts using this process, then this aDP set each selects a single\n",
    "  district / regional plan that best centers it.  Some choices will have full Athens, some partial, some none.\n",
    "\n",
    "#Franklin - 11 whole\n",
    "#Delaware: 0.8 / 1.8 are straddlers based on Union+Marion+Morrow pop.  Pie-cut the adjoining county.\n",
    "# Knox and Licking ARE PAIRED like Medina and Ashland.  pie-cut along horizontal until 2 districts evened up (angle NOT t-specific)\n",
    "# Fairfield 0.33 / 1.33 could be straddlers based on Pickaway+Hocking+Perry pop, but all red so ignore.\n",
    "# Madison / Fayette / Pickaway are free-range\n",
    "\n",
    "#Lorain county:  ID 0.63 / 2.63 as straddlers based on highest Erie + Huron pop.  Pair with 0.37 E or H based on E vs. H pop in HDPoly.\n",
    "# Each straddler generates a pie cut with an angle halfway between vertical and perpendicular to the tract - Lorain centroid.\n",
    "# Erie and Huron HDs include 0.63 Lorain if there is an HD with 0.63 that centers them better than Erie+Huron PCP.\n",
    "\n",
    "#Dayton area: start with Butler County.  Select the HDs with the highest Preble + Montgomery + Darke pop as the 0.28 remnant\n",
    "#  grow them until they capture all Preble or 0.51 of Montgomery.  If Preble, then complete with Darke partial.  If Mtgmry, then Preble partial\n",
    "#  Butler remnants do not get a \"vote\" on other districts\n",
    "#  Montgomery tracts to be ranked by non(Montgomery+Warren+Darke) population.  Top 0.51 / 4.51 will center straddling districts\n",
    "#  For straddling Montgomery tracts, ID the county with highest population use.\n",
    "#    If Butler or Preble:  0.28 Butler + 0.21 Preble; if Greene or Clark, 0.50 Montgomery + 0.38 Greene + 0.12 Clark.  If Miami, 0.49 Miami\n",
    "#  Dayton-area voting: similar to Lorain area.  Plan voting on \n",
    "#  Any tract drawn into a Montgomery-containing district can choose a straddling district if that centers them better than their default non-Montgomery district\n",
    "#     Remnant Montgomery HDs do not vote on full Montgomery district plan\n",
    "#     Compute population center of each remnant HD\n",
    "#   Non-remnant Montgomery HDs: pick the remnant with pop centroid farthest away.  Make a wedge on non-remnant Montgomery centroid to deliver aDP\n",
    "#   Non-remnant Butler HDs:    Same as Montgomery\n",
    "#  Preble:  The 0.21 / 0.34 with highest Dayton + Butler pop will center straddling districts.  Others will be full Darke + Miami partial\n",
    "#  Darke:  all Darke + 0.13 Preble + free-range\n",
    "#  Miami: All Miami.  For each HD, pick county that HDPoly pulls most from out of Darke, Shelby, Champaign, Clark.  If Clark, take 0.11, not 0.09\n",
    "#  Clark: 0.14 / 1.14 with most noncounty pop become straddlers.  (Montg+Greene, or Miami 1.03 aDP, or NE free range. These vote on whole Clark. \n",
    "#    Whole Clarks' pick the farthest remnant\n",
    "#  Greene: 0.41 / 1.41 are straddlers based on nonGreene, nonWarren pop.  Greene straddlers vote on whole Greene\n",
    "#     Greene straddlers pair with 0.13 Clark + 0.48 Montgomery, or Madison+Fayette or Clinton+Fayette\n",
    "\n",
    "\n",
    "\n",
    "#THRESHOLD FOR PICKING PRIMARY PAIRING COUNTY FOR A STRADDLING HD: higher of pairing A pop / countyA pop vs. pairing B pop / countyB pop  ??  total pop?\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d31ff1f-fce3-4aca-912d-467e7d3152ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d482d28a-c2cf-4d32-b109-4caa52c90f22",
   "metadata": {},
   "outputs": [],
   "source": [
    "#early Oct version\n",
    "print(\"We will now divide the map into subregions for HD analysis.  The regions are...\")\n",
    "print(\"Hamilton County 30, done as a 7-district HD1\")\n",
    "print(\"Franklin County 24, done as an 11-district HD1\")\n",
    "print(\"Lucas County 47, 3.62 pie-cut with 0.11 from Wood 86 + most of Fulton 25 OR most of Ottawa 61\")\n",
    "print(\"We will then put the Wood tracts least used in Lucas districts into the Wood-only district\")\n",
    "print(\"Mtgmry County 56 has 4.5, with partial paired with Greene 28, Butler 8 + Preble 67, or Miami 54\")\n",
    "print(\"Athens County 4 can pair with all nearby.  Force each Athens HD to take full Athens County, non-Athens will be openRange\")\n",
    "print(\"Lorain County 46 has 2.63.  Force eastern 2.0, west 0.63 HDcircle pair with 21+38 Erie+Huron\")\n",
    "print(\"Warren 82, Mahoning 49 and Lake 42 as pie-cut 2 full districts.  Rest of NE Ohio is a punt for now\")\n",
    "   print(\"Summit 76 4.53 could pair with 0.15 of Stark 75 + Portage 66, Portage 66, or  Cuyahoga 17\")\n",
    "   print(\"Cuyahoga 17 10.61 could pair with Summit 76 or Geauga 27\")\n",
    "   print(\"Need to figure out how to analyze Trumbull 49, Portage 66, Stark 75\")#\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d786006-5209-4b92-b17c-c61485df5001",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "61d15f08-0f87-4298-896f-c82331f212fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code block divides large wholeDistrict counties via HD2, snapping HDtractLists\n",
      "there are a total of 1447 tracts in these big Whole counties\n",
      "creating in-county district for tract 6745 in county 24\n",
      "creating in-county district for tract 6845 in county 24\n",
      "creating in-county district for tract 6945 in county 24\n",
      "creating in-county district for tract 7045 in county 24\n",
      "creating in-county district for tract 7145 in county 24\n",
      "creating in-county district for tract 7245 in county 24\n",
      "creating in-county district for tract 7345 in county 24\n",
      "creating in-county district for tract 7445 in county 24\n",
      "creating in-county district for tract 7545 in county 24\n",
      "creating in-county district for tract 1206 in county 30\n",
      "creating in-county district for tract 1306 in county 30\n",
      "We bypassed the HD1Poly loop for tract 1405 in county 30\n",
      "creating in-county district for tract 1406 in county 30\n",
      "creating in-county district for tract 1506 in county 30\n",
      "We bypassed the HD1Poly loop for tract 1568 in county 30\n",
      "creating in-county district for tract 1606 in county 30\n",
      "creating in-county district for tract 1729 in county 30\n",
      "We bypassed the HD1Poly loop for tract 7602 in county 30\n",
      "We bypassed the HD1Poly loop for tract 7603 in county 30\n",
      "all done with big whole counties, snapping to HDtractLists\n"
     ]
    }
   ],
   "source": [
    "#VERSION 2: alt approach for whole districts - improve from vtdCO  #WIP 10/30/22\n",
    "print(\"this code block divides large wholeDistrict counties via HD2, snapping HDtractLists\")  #10/22/22 WIP - ready to test??\n",
    "#Here, we build the 4-wedge HD Poly's (prior to rejiggering) using basic HD1 code  - ignoring muni boundaries\n",
    "#3/13/22 - from HD2, but using coeff1, coeff2 (unrestricted opp wedge pop, wideAngle quadratic in ratio)\n",
    "# Bisect for yoyo > 3, precinct calcs after wedges finalized.  More aggressive Euler gain\n",
    "#minTractPop = 10  #this is set in a prior block\n",
    "pi=3.1415926536\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "wedgeTriAR = [math.sin(pi/nWedges)*math.cos(pi/nWedges)]*nWedges  #wedge triangle area ratio (= area / r*r)\n",
    "angle = [0.]*nWedges\n",
    "angle2 = [0.]*nWedges\n",
    "pt1 = [Point(0,0)]*nWedges  #these four define the polygon wedge for a growing home district\n",
    "pt2 = [Point(0,0)]*nWedges\n",
    "pt3 = [Point(0,0)]*nWedges\n",
    "pt4 = [Point(0,0)]*nWedges\n",
    "wedgePoly = [dummyPoly]*nWedges\n",
    "oldR = [0.]*nWedges  #wedge radius from previous loop\n",
    "# guessedR = [0.]*nWedges  #obsolete; was wedge radius if we extrapolate from population density of most recent wedge piece\n",
    "printPoly = [dummyPoly]*nWedges #for debugging\n",
    "wedgePop = [0.]*nWedges\n",
    "tractLoopCounter = [0.]* nTracts  #this tracks how many loops per tract to get to target wedge Pop\n",
    "HD1Pop = [0.]*nTracts\n",
    "HDPoly1 = [dummyPoly]*nTracts  #final 4-wedge shape, NOT trimmed to state boundary\n",
    "HD1area = [0.]*nTracts  #geographical area of each home district\n",
    "HD1radius = [[0.]*nWedges for t in range(nTracts)] #final wedge length for each Home District wedge\n",
    "HD1angle = [[0.]*nWedges for t in range(nTracts)] #final included angle for each HD wedge\n",
    "angle0 = [-999.] * nTracts  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "toler = 0.05  #adjustable - fractional slop in district population.\n",
    "nLoopPrint = 36  #at this loop number, we alert user of problem\n",
    "nGiveUp = 40  #we punt after this many loops\n",
    "nSwitchMethod = nGiveUp - 12  #go to bisection if we are slow to converge # ***NEW FOR legisl_byCounty ******\n",
    "nLoopSuperPrint = nGiveUp - 2 # at this loop number, we output wedge growth visuals\n",
    "wrongPop = [0.]*nTracts\n",
    "normalGain = 0.8  #adjustable - a bit less than 1.0 for stability, how far we step relative to expected perfect guess\n",
    "EulerGain = 1.5 #if we hit empty land, gain more aggressively to get through it\n",
    "#yoyoFactor = 0.3 #rate of reduction in gain as solver continues to yoyo in solving a wedge  #not currently used ***\n",
    "tractPrintInterval = 60  #for tracking progress\n",
    "didWeRestart = [0] * nTracts  #will flag if we adjusted wedge angles due to a single shorted wedge\n",
    "coeff1 = 0.3  #linear term. we will adjust this empirically to tighten tract weighting near boundaries\n",
    "coeff2 = 0.3  #quadratic term.  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxWideAngle = 0.8 * pi  #adjustable parameter.  (avoid wedges too close to half a pie\n",
    "COUNTYNO = [24, 30]\n",
    "\n",
    "#reapplying from vtdCO code ...\n",
    "isNonEquiAngle = [0] * nTracts  #will flag if we adjusted wedge angles due to a single shorted wedge\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #NEW for \"HD2\" 3/7/22\n",
    "maxAngle = 1.8*pi/2.  #NEW 9/11/22 - AVOID super-wide angles very close to boundary\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "avgTractPop = np.sum(tractPop)/nTracts\n",
    "maxWideAngle = 0.8 * pi  #adjustable parameter.  (avoid wedges too close to half a pie\n",
    "partialTractNo = [-999]*nTracts #this will be the tract no for an HD's partially used tract on its boundary\n",
    "wedgeTractList = [[]]*nWedges\n",
    "printDebug = \"no\"\n",
    "printFreq = 100\n",
    "print(\"there are a total of\",len(bigWholeList),\"tracts in these big Whole counties\")\n",
    "globalMax_dr = (MAP.area/nDistricts) ** 0.5  #put a reasonable upper limit on wedge radial growth step size\n",
    "for t in bigWholeList: #loop on each tract.  Start by resetting stats    \n",
    "    c = countyNo[t]\n",
    "    if bigWholeList.index(t) % printFreq == 0:\n",
    "        print(\"creating in-county district for tract\",t,\"in county\",c)\n",
    "    MAP = countyGeom[c]\n",
    "    nD = round(countyPop[c]/avgDistrictPop,0)\n",
    "    aDP = countyPop[c] / nD\n",
    "    avgDistrictPop = aDP\n",
    "    tolerPop = toler * aDP  #absolute slop in district pop\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP\n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to our starting wedge  #ADD THIS BACK IN\n",
    "    #angle0[t] = 0.\n",
    "    nActiveWedges = nWedges #active wedges have not run over boudnary\n",
    "    # ***GROW WEDGES SIMULTANEOUSLY via ARRAYS, SO WE CAN REACT ON FLY TO BOUNDARY STOPS ----------------\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [avgDistrictPop / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    wedgeAngle = [avgWedgeAngle] * nWedges #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    angle[0] = angle0[t] - 0.5*wedgeAngle[0]\n",
    "    for nW in range(nWedges) :  #this loop: compute the max wedgePops with this initial random starter angle\n",
    "        maxWedgePop[nW] = tractPop[t]*wedgeAngle[nW]/(2.*pi) #seed w/ fractn of starter tract (to be excluded below)\n",
    "        if nW > 0:\n",
    "            angle[nW] = angle2[nW-1]            #local variable for orientation of START of wedge\n",
    "        angle2[nW] = angle[nW]+wedgeAngle[nW]   #local angle for clockwise END of wedge\n",
    "        wR = maxR #crossCheck(tractCP[t], angle[nW],angle2[nW],maxR,noCrossPolyList)  #reduce from global max in concave areas\n",
    "        pt1[nW] = tractCP[t]\n",
    "        pt2[nW] = Point(tractCP[t].x+wR*math.cos(angle[nW]),  tractCP[t].y+wR*math.sin(angle[nW]) )\n",
    "        pt3[nW] = Point(tractCP[t].x+wR*math.cos(angle2[nW]), tractCP[t].y+wR*math.sin(angle2[nW]) )\n",
    "        wedgePoly[nW] = Polygon([pt1[nW], pt2[nW], pt3[nW] ])\n",
    "        for tt in countyTractList[c]:\n",
    "            if wedgePoly[nW].contains(tractCP[tt]) and tt != t :  #we already counted the starter tract'\n",
    "                maxWedgePop[nW] += tractPop[tt]\n",
    "        if maxWedgePop[nW] >= targetWedgePop[nW] - 0.5* tolerPop:  # \"0.5\" in case multiple short wedges\n",
    "            willFill[nW] = 1\n",
    "        \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        #print(\"At least one wedge could not reach its wedgePop target\",targetWedgePop,maxWedgePop)  #debug\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the closest boundary for the shortest wedgePop\n",
    "        shortedPoly = wedgePoly[minW]\n",
    "        edgeLine = shortedPoly.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        minDistance = tractCP[t].distance(edgeLine)  #closest distance to edge where wedge hit the boundary\n",
    "        edgeBall = tractCP[t].buffer(1.01*minDistance)  #build a circle a little bigger than this distance to ensure intersxn\n",
    "        edgeArc = edgeBall.intersection(edgeLine)  #only count MAP boundary intersxns within the shortest wedge\n",
    "        if edgeArc.is_empty:  #Can't find an intersection; something is off...  \n",
    "            angle0[t] = ( 0.5*(angle[minW]+angle2[minW]) ) %2.*pi #.. Just set an average angle0 for re-orienting this shortest wedge\n",
    "            \n",
    "        else: # we found an intersection\n",
    "            closePoint = edgeArc.centroid\n",
    "            dx = closePoint.x - tractCPx[t]\n",
    "            dy = closePoint.y - tractCPy[t]\n",
    "            exitAngle = pi/2. * np.sign(dy)  #default in case dx=0\n",
    "            if (dx != 0. ):\n",
    "                exitAngle = math.atan(dy/dx)  #this is the angle from the x-axis to the exit beeline\n",
    "                if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                    exitAngle = pi + exitAngle\n",
    "            angle0[t] = exitAngle # this reorients 0th wedge to face boundary's closest point\n",
    "        \n",
    "        # OK, we've re-oriented the shortest wedge to face the boundary. Need to recompute all wedges' start/stop angles\n",
    "        angle[0] = angle0[t] - 0.5*wedgeAngle[0]   #start of wedge is a half-angle away from avg wedge orientation\n",
    "        #print(\"Our new avg angle for the shortest wedge for tract\",t,\"is\", r3(angle0[t]),\"rad =\",r3(180./pi*angle0[t]),\"deg\")\n",
    "        for nW in range(nWedges):\n",
    "            if nW > 0:\n",
    "                angle[nW] = angle2[nW-1]        #local variable for orientation of START of wedge\n",
    "            angle2[nW] = angle[nW]+wedgeAngle[nW]    #local angle for clockwise END of wedge           \n",
    "            wR = maxR  #crosscheck( ...  \n",
    "            #set each wedge radius to max to find the max possible wedgePop.  Trim radius if in concave area\n",
    "            pt1[nW] = tractCP[t]\n",
    "            pt2[nW] = Point(tractCP[t].x+wR*math.cos(angle[nW]),  tractCP[t].y+wR*math.sin(angle[nW]) )\n",
    "            pt3[nW] = Point(tractCP[t].x+wR*math.cos(angle2[nW]), tractCP[t].y+wR*math.sin(angle2[nW]) )\n",
    "            wedgePoly[nW] = Polygon([pt1[nW], pt2[nW], pt3[nW] ])\n",
    "\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation\n",
    "        willFill = [0]*nWedges\n",
    "        for nW in range(nWedges):\n",
    "            maxWedgePop[nW] = tractPop[t]*wedgeAngle[nW]/(2.*pi) #seed w/ fractn of starter tract, which will be excluded below\n",
    "            for tt in countyTractList[c]:\n",
    "                if wedgePoly[nW].contains(tractCP[tt]) and tt != t  : \n",
    "                    maxWedgePop[nW] += tractPop[tt]\n",
    "            if maxWedgePop[nW] >= targetWedgePop[nW] - 0.5*tolerPop:\n",
    "                willFill[nW] = 1\n",
    "            \n",
    "    nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "    minW = maxWedgePop.index(np.min(maxWedgePop))  #minimum wedge ...\n",
    "    oppW = int( int(minW + nWedges/2) % nWedges )  #and its opposing wedge\n",
    "\n",
    "    if nUnfilledWedges >= nWedges:\n",
    "        print(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUnfilledWedges == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        Lstar = ( maxWedgePop[minW] / (0.25*avgDistrictPop) )**0.5  #nondim'l distance to boundary \n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUnfilledWedges == 0 or nUnfilledWedges == nWedges - 1:#far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUnfilledWedges == 2:  #must determine if opposite or adjacent           \n",
    "        if maxWedgePop[oppW] < targetWedgePop[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(nWedges):\n",
    "                if willFill[nW] == 0 and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = maxWedgePop[adjW] / targetWedgePop[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebug == \"yes\":\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",maxWedgePop[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "                Lstar = ( maxWedgePop[minW] / (0.25*avgDistrictPop) )**0.5  #nondim'l distance to boundary \n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        targetWedgePop = [avgDistrictPop / float(nWedges)]*nWedges  #reset; will adjust immdtly below for amy shorted pops\n",
    "        orderedMWP = [0.]*nWedges  #this loop: sort by maxWedgePop to pass extra targetWedgePop to those that can take\n",
    "        for nW in range(nWedges):\n",
    "            maxWedgePop[nW] -= random.uniform(0,0.0001)  #to fix rare orderedMWP mis-sort on rare corners\n",
    "            orderedMWP[nW] = maxWedgePop[nW]\n",
    "        orderedMWP.sort() #sorting the wedges by their maxWedgePop\n",
    "        if printDebug == \"yes\" :\n",
    "            print(\"tract, ordered maxWedgePop list is\",t,r3L(orderedMWP))\n",
    "        for nn in range(nWedges):  #going from least to most maxWedgePop here ...\n",
    "            nW = maxWedgePop.index(orderedMWP[nn])\n",
    "            if maxWedgePop[nW] < targetWedgePop[nW]: #need to redistribute extra target to more populous wedges ...\n",
    "                wedgePopGap = targetWedgePop[nW] - maxWedgePop[nW]\n",
    "                targetWedgePop[nW] = maxWedgePop[nW]  #resetting this target to be attainable\n",
    "                nReceivers = 0.\n",
    "                for WW in range(nWedges):\n",
    "                    if maxWedgePop[WW] > targetWedgePop[WW]:  #this wedge could take at least a little more ....\n",
    "                        nReceivers += 1.\n",
    "                for WW in range(nWedges):\n",
    "                    if maxWedgePop[WW] > targetWedgePop[WW]:  #this wedge could take at least a little more ....                    \n",
    "                        targetWedgePop[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap\n",
    "            if printDebug == \"yes\" :\n",
    "                print(\"after real wedge\",nW,\"gap=\",r3(wedgePopGap))\n",
    "                print(\"orig-order tWPs are now\",r3L(targetWedgePop),\n",
    "                      \"which sum to\",r3(np.sum(targetWedgePop)-avgDistrictPop),\"relative to avgDistrictPop\")\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles, recompute maxWPs, and then ...\n",
    "        isNonEquiAngle[t] = 1\n",
    "        if printDebug == \"yes\" :\n",
    "            print(\"t,current list of STARTING angles are\",t,r3L(angle))\n",
    "        adjWedgeList = []  #... assign each wedge's targetPop based on other wedges' maxWPs\n",
    "        minW = 0  #we force the 0th wedge to be the one facing the boundary (it's usually the shortest)\n",
    "        oppW = int(nWedges/2)  \n",
    "        for nW in range(nWedges):\n",
    "            if nW != minW and nW != oppW:\n",
    "                adjWedgeList.append(nW)  #building the list of \"adjacent\" wedges (excl min and opp)\n",
    "        wideAngle = min(maxAngle, avgWedgeAngle*max(  1,( 1.+(maxAngleRatio-1.)*(levelL - Lstar)/(levelL - 0.) )  ) )\n",
    "        wedgeAngle[minW] = wideAngle\n",
    "        wedgeAngle[oppW] = wideAngle\n",
    "        for nW in adjWedgeList: #decrease these angles so sum(angles) = 2 pi\n",
    "            wedgeAngle[nW] = (2.*pi - 2.*wideAngle) / (nWedges - 2.)\n",
    "        #one more restart to identify each (adjusted) wedge's max Pop using our NEW ANGLES\n",
    "        angle[minW] = angle0[t] - 0.5 * wideAngle\n",
    "        angle2[minW] = angle[0] + wideAngle\n",
    "        for ww in range(minW+1,minW+nWedges,1) :\n",
    "            nW = int(ww % 4)\n",
    "            previousWedge = int( (nW+3) % 4)  #protects against minW = nWedges-1\n",
    "            angle[nW] = angle2[previousWedge]\n",
    "            angle2[nW] = angle[nW]+wedgeAngle[nW]\n",
    "        if printDebug == \"yes\" :\n",
    "            print(r3(angle0[t]),\"= final angle0. New list of STARTING angles are\",r3L(angle))\n",
    "            print(\"new list of ENDING angles are\" ,r3L(angle2),\"and minW no =\",minW)\n",
    "        willFill = [0]*nWedges #need to reset, since redrawing with new angles.  =\n",
    "        for nW in range(nWedges) :  #this loop: compute the max wedgePops (last time, I promise) with adjusted angles\n",
    "            cosHA = math.cos(0.5*wedgeAngle[nW])  #cosine of half-angle (needed to extend R for wide angles)\n",
    "            wR = maxR/cosHA #crossCheck(tractCP[t], angle[nW],angle2[nW],maxR/cosHA,noCrossPolyList)  #reduce from global max in concave areas\n",
    "            #wR = maxR/cosHA  #current value of this wedge's radius\n",
    "            pt1[nW] = tractCP[t]\n",
    "            pt2[nW] = Point(tractCP[t].x+wR*math.cos(angle[nW]),  tractCP[t].y+wR*math.sin(angle[nW]) )\n",
    "            pt3[nW] = Point(tractCP[t].x+wR*math.cos(angle2[nW]), tractCP[t].y+wR*math.sin(angle2[nW]) )\n",
    "            wedgePoly[nW] = Polygon([pt1[nW], pt2[nW], pt3[nW] ])  \n",
    "            \n",
    "            maxWedgePop[nW] = tractPop[t]*wedgeAngle[nW]/(2.*pi)   #need to adjust seed tract pop split due to angle changes\n",
    "            for tt in countyTractList[c]:\n",
    "                if wedgePoly[nW].contains(tractCP[tt]) and tt != t : #as always, home tract alrdy counted\n",
    "                    maxWedgePop[nW] += tractPop[tt]\n",
    "            if maxWedgePop[nW] >= targetWedgePop[nW] - tolerPop:\n",
    "                willFill[nW] = 1\n",
    "\n",
    "        targetWedgePop[minW] = min(maxWedgePop[minW],avgDistrictPop/nWedges)\n",
    "        targetWedgePop[oppW] = min(maxWedgePop[oppW],targetWedgePop[minW]) #oppW constraint capped by minW\n",
    "        orderedMWP = [0.]*nWedges  #this loop: sort by maxWedgePop to pass extra targetWedgePop to those that can take\n",
    "        for nW in range(nWedges):\n",
    "            maxWedgePop[nW] -= random.uniform(0,0.0001)  #to fix rare orderedMWP mis-sort on rare corners\n",
    "            orderedMWP[nW] = maxWedgePop[nW]\n",
    "            if nW!= minW and nW!= oppW :\n",
    "                targetWedgePop[nW] = (avgDistrictPop - targetWedgePop[minW]-targetWedgePop[oppW]) / (nWedges - 2.)\n",
    "        orderedMWP.sort() #sorting the wedges by their maxWedgePop\n",
    "        if printDebug == \"yes\" :\n",
    "            print(\"t,orig, min-to-max order of maxWedgePops are\",t,r3L(maxWedgePop),r3L(orderedMWP))\n",
    "            print(\"and the original-order targetWedgePops were\",r3L(targetWedgePop) )\n",
    "        for nn in range(nWedges):  #going from least to most maxWedgePop here ...\n",
    "            nW = maxWedgePop.index(orderedMWP[nn])\n",
    "            #print(\"before this jigger on wedge\",nW,\", 0-1-2-3 targetWedgePops were\",r3L(targetWedgePop))\n",
    "            if maxWedgePop[nW] < targetWedgePop[nW]: #need to redistribute extra target to more populous wedges ...\n",
    "                wedgePopGap = targetWedgePop[nW] - maxWedgePop[nW]\n",
    "                targetWedgePop[nW] = maxWedgePop[nW]\n",
    "                nReceivers = 0.\n",
    "                for WW in range(nWedges):\n",
    "                    if maxWedgePop[WW] > targetWedgePop[WW]:  #this wedge could take at least a little more ....\n",
    "                        nReceivers += 1.\n",
    "                for WW in range(nWedges):\n",
    "                    if maxWedgePop[WW] > targetWedgePop[WW]:  #this wedge could take at least a little more ....                    \n",
    "                        targetWedgePop[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap\n",
    "            if printDebug == \"yes\" :\n",
    "                print(\"after true wedge\",nW,\"gap=\",r3(wedgePopGap),\"orig-order tWPs are now\",r3L(targetWedgePop),\n",
    "                      \"which sum to\",r3(np.sum(targetWedgePop)-avgDistrictPop),\"relative to avgDistrictPop\")\n",
    "                \n",
    "        #print(\"constrain opp wedge for\",t,\"Lstar,tWPs are\",Lstar,targetWedgePop)  #DEBUG\n",
    "\n",
    "    #OK, we've now finalized all the wedge angles, all targetWedgePops and max possible wedgePops\n",
    "    # Ready to determine each wedge's final radius to complete its targetPop\n",
    "    HD1Pop[t] = 0.\n",
    "    offsetPop = [0.]*nWedges  #how much the current wedgePop is above its targetWedgePop\n",
    "    tractLoopCounter[t] = 0\n",
    "    previousOffsetPop = 0.  #new 11/4/22 - minimize HDpop error creep over 4 wedges\n",
    "    for nW in range(nWedges):\n",
    "        nActiveReceivers = 0  #new 11/4/22 .........\n",
    "        for nnw in range(nW,nWedges): \n",
    "            if maxWedgePop[nnw] > targetWedgePop[nnw]:\n",
    "                nActiveReceivers += 1  #how many remaining wedges are not maxed out? divide offtarget extra among them\n",
    "        for nnw in range(nW,nWedges):\n",
    "            if maxWedgePop[nnw] > targetWedgePop[nnw] and nActiveReceivers > 0:\n",
    "                targetWedgePop[nnw] -= previousOffsetPop / nActiveReceivers #..... new 11/4/22\n",
    "        wedgeTractList[nW] = []\n",
    "        wedgePop[nW] = tractPop[t] * wedgeAngle[nW]/(2.*pi)  #here, reseed w/frac tractPop, whole will not be picked up\n",
    "        wR = 0.001\n",
    "        currentR = [wR]*nWedges\n",
    "        dR = 0.5 * maxR / math.cos(0.5*wedgeAngle[nW])  #cosine of half-angle (needed to extend R for wide angles)\n",
    "        offsetPop[nW] = wedgePop[nW] - targetWedgePop[nW]\n",
    "        counter = 0\n",
    "        while abs(offsetPop[nW]) > 0.5 *tolerPop and counter < nLoopPrint:  #added 0.5 11/5/22\n",
    "            wedgePop[nW] = tractPop[t] * wedgeAngle[nW]/(2.*pi)\n",
    "            wedgeTractList[nW] = [] #we exclude the home tract from the wedge lists, will add later to final list\n",
    "            counter +=1\n",
    "            wR= wR - dR * np.sign(offsetPop[nW])  #apply bisection step to get new wedge radius\n",
    "            CwR = wR #crossCheck(tractCP[t], angle[nW],angle2[nW],wR,noCrossPolyList)  #trim probed radius near concavities\n",
    "            pt1[nW] = tractCP[t]\n",
    "            pt2[nW] = Point(tractCP[t].x+CwR*math.cos(angle[nW]),  tractCP[t].y+CwR*math.sin(angle[nW]) )\n",
    "            pt3[nW] = Point(tractCP[t].x+CwR*math.cos(angle2[nW]), tractCP[t].y+CwR*math.sin(angle2[nW]) )\n",
    "            wedgePoly[nW] = Polygon([pt1[nW], pt2[nW], pt3[nW] ])  #.union(tractCPball) not needed; see below modifcn\n",
    "            currentR[nW] = CwR\n",
    "            for tt in countyTractList[c]:\n",
    "                if wedgePoly[nW].contains(tractCP[tt]) and tt != t : #exclude home tract\n",
    "                    wedgePop[nW] += tractPop[tt]\n",
    "                    wedgeTractList[nW].append(tt)\n",
    "            offsetPop[nW] = wedgePop[nW] - targetWedgePop[nW]\n",
    "            #print(\"t,w,loop,r,wP,tWP\",t,nW,counter,r3(wR),r3(wedgePop[nW]),r3(targetWedgePop[nW]) ) #DEBUG\n",
    "            dR = 0.5 * dR  #bisecting step size for next round ...\n",
    "        if counter >= nLoopPrint:\n",
    "            print(\"we didn't converge for tract,r,wedge,pop, tWP=\",t,nW,wR,wedgePop[nW],targetWedgePop[nW]) #debug\n",
    "            print(\"our start-stop angles (in deg) were\",r3(180./pi*angle[nW]),r3(180./pi*angle2[nW]) )\n",
    "        HD1radius[t][nW] = wR  #WE HAVE CONVERGED FOR THIS WEDGE'S RADIUS.  SAVE FINAL RADIUS AND ANGLE\n",
    "        HD1angle[t][nW] = angle[nW]\n",
    "        previousOffsetPop = offsetPop[nW]   #new 11/4/22\n",
    "    # END OF WHILE LOOP --> we are within tolerance of avgDistrictPop. Finalize this tract's Home District stats\n",
    "\n",
    "    if (tractPop[t] < minTractPop or tractArea[t] == 0 or isSkippedTract[t] == 1): \n",
    "        #we bypassed the big loop; this tract is inconsequential\n",
    "        HD1Pop[t] = avgDistrictPop  #a white lie\n",
    "        print(\"We bypassed the HD1Poly loop for tract\",t,\"in county\",c)\n",
    "    else :\n",
    "        HD1Pop[t] = np.sum(wedgePop)   #10/30/22 ******************WIP ** modify this to fuse wedgePolys\n",
    "        centerPt = tractCP[t]\n",
    "        HDpolly = tractCP[t].buffer(0.001) #seeding the final Home District polygon shape           \n",
    "        for nW in range(nWedges):  #save final geometry, compute minority and partisan stats\n",
    "            HD1radius[t][nW] = currentR[nW]\n",
    "            HD1angle[t][nW] = angle[nW]\n",
    "            cR = currentR[nW] #shorthand\n",
    "            outerPt2 = Point(tractCP[t].x+cR*math.cos(angle[nW]), tractCP[t].y+cR*math.sin(angle[nW]) )\n",
    "            outerPt3 = Point(tractCP[t].x+cR*math.cos(angle2[nW]),tractCP[t].y+cR*math.sin(angle2[nW]) )\n",
    "            HDpolly =  HDpolly.union( Polygon([centerPt,outerPt2,outerPt3]) )  #add this wedge to HD district polygon\n",
    "        HDPoly1[t] = HDpolly  #***   NEW 5/30/22 - store the final group of wedges as HDPoly1  ***\n",
    "        \n",
    "        # finalizing HD tract list\n",
    "        HDtractList[t] = [t]\n",
    "        for nW in range(nWedges):\n",
    "            HDtractList[t] = HDtractList[t] +wedgeTractList[nW]\n",
    "print(\"all done with big whole counties, snapping to HDtractLists\")\n",
    "avgDistrictPop = np.sum(tractPop)/nDistricts #resetting to usual for other code blocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "38b6998e-ae75-4489-89d6-a568e500f2c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5933.135714285715\n"
     ]
    }
   ],
   "source": [
    "print(tolerPop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "a6468ed2-9937-44fc-a712-5526f19f867f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 0.11529 = avg,std dev of TRACT usage.  Here is its weighted histogram\n",
      "plotting the tract use distro in county 24\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting correlation of tractUse to distance from center for county 24\n"
     ]
    },
    {
     "data": {
      "image/png": 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pq3Sva1NWdRFzNl2uUiwmIHmDe3lFxqxvf0GEOcQwsW5EXJjYdREXYcZDGamYPLij/b6jAHuiMUFuKUIXVEvmMp6sNyLlwpETNo4ovY2PSE/GjFFdkBB1ufJvaUUtZq3Pc3IvqU3Pltout6WkrIq71o2UO2xEejK2PT8Yq8b3w7y7e2DV+H7Y9vxgJ4HC2yfqTEWd4fVxeFxKUi8GUtdFWVUd5m46jMy8YvtnWl2QBBGIkLghdEG1ZC7jKaGnp5idgNLb+MZcKyat3IszFfLxM2rPo9R2ea0DZypqucWUnIBUahoqJzLEMLIonta4sHobwwtfHeAW03qFFEEEEuSWInSh1dTtb5lVRuApoae1mB3A59ZQmiQdXYtqXBZyVgBed0xCU3VNb5XcYY7XXWKUBTABJRdq0CI6HEPTkrDovl54cU2ublefWrTEhc3ffMQtDklpnGpr8BBEoELihtCFlpgBqYDbGaO6ID7KErCCx1MxDVqtXrxv42omSaXz7bhtue3yBvvGRoTJbEUascBfsevOESFm5+buyVi+/ZjiNoy2RqqJC6u3MSzPKuJa1nWc3g6wJwhfQOKG0IXabBupgFtrWTUmrtzr9JnWDCNfWYXUCD01Y9Qa4BkXacbs27rKHj+1k6Tc+RaI59guwGdFqLcxLjHlimvgr9R150hxWbVsFpgrQn0cX1xrOwvPqGoe6kgwWk0JwhUSN4RmhIdkzUUbpg7pjFU7jzu9MbuautXGjmjJMPJlaXleoZeZV6xqjLzWElfOylhjBLRMklKipCFDJwWTB3dCaIiJaxJVsiLwiCkxhMDfRff1wtC0JK7rjnfdgkg9W1GD69/a7JNrjbs1RaSZy2pKLiki2DAxuc6VQUh5eTliY2NRVlaGmJgYXw8nYBF7SCbFWHBP33ZISYwSncyyC0pxz5IdqrYjTCTbnh+s+HYp9XYu/Mpb9XbkJhAAmsYo7BugfhKWO3Zrc05iyqc5iuuKDAvFgZnDuRtMGj2JKrmUxBD2/907uuPepT+p3qYcjw1IFe0HJRydBWN7IjYyDNkFpQAY+l+RKFlJWQu899K0IZ0xZUgnAP5zfxCEVtTM3yRuCNUomfgXju2Fkd3cH5K8E6kYq8b3k41HqLcxt7doR9SIJCMQm/gB6BqjlgkekD92agTn+5yTn9pJlNdNUm9j2FFQiuyjJSj4owLb8ktwvvqi4ngmD+qA+VsKFJfj5aGMFGzMLZY9DyZTQ+NLR+IizXiTw13Hg3C9y1nzYiOaYM+MYXYrmj/dHwShBTXzN7mlCFXwuJYmr9qD+eiJkd1aOX2upziYkhne37pbiwWHZheU6hqjqwtnY64V/8n9XXEscsdOcHkpCSbeYoxqizpu2G/FX9c6ZyclRJnx+s3pbtePmDuPh4I/KlQtr0SbuAjFMYi9Mp6rrMOEj/dwi0Q5eNx1JpMJmXnFGJGe7Hf3B0F4GqpzE8R4or8RT1qyjQETV+7Fhv2nnD7nLZQmhpIw4o1ByMr/A7UXbcg6UoJ3//sr3v3vIWTll3i095OAUX2E+ndoBkuTEC5hA8gfO8faJ3Lw1uhRM4nO3pCHiSv3uKVdn6mow8SVezF7w+VKyFLF6nj4T26x8kIcCEXuEqK0ZXAJzFz3iyHXmxD7FBtpFv2+rPJywUGqR0U0NshyE6R4KnBQzcNv8qq9mA+T3UWlJTiUp04LwG8Vmr+lAAu+L3B6s56/Jd9Ql4EURqWK87ZAAPgqzo5IT8a4jBQs5ciaUuqtxHt9/O8Xq2K69QdbC9G9TTyGp/MFBIsRYmoQ2zw4XpOeSE8XKC6vMcxCMjQtCTPX5QFwDwp3tJS9e0d3rvVR6wUiWCDLTRCip0u0Emoefg0WHOftSVVjlUKp87OAGquQnMvAk13M9Za/FyxxczIPcVsweCvODklL4lrfrG9/cTtGjhbCkvM1XOv5YtdvXMvNWJuLHUfl3XliCHusxkCSFBuOhWN7YdqQzoiNMLt9J8QK6bFAChhlIdlZeEZWcAqWMphArReIRgVZboIMTzey5I3RcMR1e0LsyI6CUkxauUc2FTk+0oyhHBOv1pRhV6Z/dcBjTT61dOAW0BJMPC4jhdsSxZtufqaiQQRO/VNHXJPSDJsOFuPLPSedAnt5rCUXauu5xlVaUXsp40gdSbHhGJmexGWNGpbWAg/0T0VZVUMvLbn0dsCYay2xqQXZBaW6a83wiqSSCzWarz2CCETIchNkeLqRJW+MhiNi2wsNMSEkxKRYY+VsZR33WNVahaS2t+Oo+smUFy19hLTGm/BaYwD1vZXmfpePe5f+hOXbj7llLBkfvsS3wvv7tcOcO7vbG2Py7v//8k5j0qo9mLhyr0QDyiNODSiBBnfQ1CGd3Cw8PNogLqIJnv48B/cs2YEpnzb89/q3NktaDeVi59S4OrX2sCKIQIQsN0GGNwIHR6QnY+HYXpi8ag/3RJaVX+L2luqJsQpWoTmZhzF/Sz737xzJLihFRsdETb/lQU35ey1NM3njlMTGxdNbydv0vyIRq/ecVLQq/XvHcWw6eNpugeibmoCkmHDFOCEAku0nhO29sPoAosPN6HdFM9GsrQYLTyo6tWiKiSvlqxyfq7oIVDkLQqmClUqxczz7GGICzlY0uAup9QLRWCBxE2R4qr+RKyO7JWM+erq1TJDCUWgID2dPjTU0xISMjomaxY0aR4PWUva8fYTUNs3U62IYkZ6Mqtp6TPt8n+rfeoLk2HD069CM2w3kKBIAoPoin/tLiXNVdbj3w58QF2kWFUINFp7DWHRfL7x/Xy+88NUBt+XiIs0Ag6i1UsxlLFUvyHUfy6vlrZ82BkxauReLQkwYkZ6sqocVQQQqJG6CDC2NLLUyslsrLERDVpQaV4TwcF4wtqfHxtq7fTwSosI0WSD6X8FntfFGKXu1FjYjujsnxUZo/q2RODbflGr54IogEqZ/dYCr/YRa5Cw8gjjZ9vzghpiyo6VOFYp3FpVi3nfSgtu1QalS7NwLXx1AWWUdlxRn0BdrRxCBBsXcBBlysROeCBwc2a0V5t/TS9VvhIfxrPUHMWOU8WPdmGvFwHe2aBI2cZFm9ON4q/VkRpojvFaryYM62mNN9AorI7KB9JIsEgcyIj0Z254fjBmjusj+loGvr5bROIoTwXr4zPAr8czwq3C+pk5W2Dhy+nw1V+zcOU5hI6An1o4gAg2y3AQhPN2W1aDkehnZLRnvhyi/VTsiTAR51nJMHdLpUtPNy2nEWsfK0/1Zjjdv66oopjydkeYIryVu2tDOhglWx2wgTxNiAv71UF+UXKjBmYpaJDS1IClG2r0XGmJCYrTF4+PSg6u1TU1dIqBB0HqqmB4V6SMaCyRuggAx8WFU4CCv68V1e0d+P8/Vz0eIi0mKCce0IZ2Rkhipeaw8wbcJUWbMHHU1Xvk2F2crLwd1JsVYMHPM1Vxiypul7PWkjyshJ1oFgTxz3S9OotNoxt+Qihs6N1f1G38vNOc6PjVxU0KtGU9ZWPz92BGEUZC4CXCUxIeeyZUnoNFRDDgGKmYXlKpqVvh7ebU9IFPrmHkmkTMVdWgeG45dfx2mWfh5q5S9ID6qautxe6/WyDz4O8ocsmwE69bQtCTVNVN4RKsgWOdvzsecTYd17YsrJgCPDkjFcyO6KI7dVYT1bh/PVZNHC5FhoajkrMEjRlykGTYbQ72N2fdDzXUwpnuyPdPL6H1sFhVGRfqIRgOJmwBGrfhQg17Xi9qHsxHuHDWiQ0/GiDcy0uSK9glpx5MHd0RmXrFbt2eloGY1101oiAlThnQCYzbM5YwZkSMyLBQj05Pwt9u6YfOvv7uN3XHfhIwhMRE2pnsyFm8t1FWwUYyY8Cb44L7eeGLVXsUaTGKcq6zDvUt/cjoHaq6DxVsL0bNdPEakJ8ta7BgahBRvQDEAzLo53dBgYq2ZggThDUjcBCiejvvQ63rRUsVVrzvHW2nwns5IU4obOncp7biytg6LtxaqErdarpuNuVZ8+vMJTfsSYgKeHNwJqc2j7BMgAElr0LmqOszZdBjLtxfirj5tJPdv8dZCPDogFev2WTU105SiuLwGTUJD8ObtXe0xR1LCQipzCmi4jid8vAfThnTC4zd2VCX0heOvFDsHgPv+emxAqr3HmxF4I1OQIPRA2VIBitGViF2roBaXVXH9Ts5aorVisFZ3jt7eTbx4MiNNTdG+JT+6T/zA5Ynu1W/y3LpPq71uBKGlNe7GxoB53x2BpUkI+ndoKICX8eZ3im6uc5V1+EBE2AhjBIB1+6z44dlBWDW+H+bd3QOfPHItkmIsurO8Tp+vlq3m+/59vbD7r0Px74f7IiosVHZdczYdwYC3t2BMd74J3/X4Cxliwj46ZsTx3F8JUWYsHNsT00eqqyouh7cyBQlCD2S5CVD0xn0IJuXisipk5Zdeiue4/CaaEMXX+VjJCuIYaJyV/wdXHI5Wy4ong29dMTojTYA3+JRBvAGo4/diVjA1142W6shSY3n1mzwctJZzp0PzrNNaVo3dx8467d/MMVfr7i8mXH8j0pMx+KqW+Hd2EY6dqUT7hEjc3z8FYU1CsDHXihfX5KKCIz6nuLwaH2wtxPgbUvHFrt+43F2O50nOheoayJ/Y1AIwoKSixiOuIm9mChKEHkjc+ClK/mw9LhieJoxnFWrEqHG9CA/nvqkJsmX09bhzhONVc9GGqUM6X0otN050iKG2jQLPckan6rquT811o7Y6shzWsmrDhI0jrvsnJTqTY8MxY1QaZq3P477+xO6TBd8X4PZerfGhhNVMjqXbCjH5xo74B0flbDUC35sVh72ZKUgQeiBx44fw+LO1xn3w1oGR+16rFcRTlhWx45UUY8G0IZ2Qkhjl0WBHnolFTXyC0am6LaLDnYRVQmQY4iPNkkXuHK+bb/efMnQsnkDseMmJzpAQ8TgV1+tP6j45U1GLJT8WahqrjQH/2JIvGwisVuB7O6jXW5mCBKEXEjd+Bm8mi1LALgNw9zVtnT4zys2gxwpitDtH6nj9Xl6DuZuO6EotNwK1GW1KFjMBEwCTSboDtzBJnq2odctIklsncHmC9+eaKEoiQEp08lx/Rt0nSugV+L4I6vVW0D5B6MXEmJznPvgoLy9HbGwsysrKEBMT4+vhOFFvY7ITkfBA3/b8YKdMFjkXk+PDLrugFPcs2aF7nAvH9tKdeWHEG6eW4+VN1I5PaXnX3z46IBWLtzZYEcQmSeF73hvcdWIUxuOJejJ6MQG6Sx1IXX9G3SdyTBvSGZ/+fFyzMJESzcK513Ns5FC6Jnx9zxHBjZr5m7Kl/AgtGVBCNsW0IZ1Ff+OYwWCEqdgEYNZ69ywctQhv1jf3aI3+HZp5PF1dCddsMb37p2V8vDEuzaLCsOi+Xpg+Mk0yo2fB2J5Yt8/KLUqiLKF4+7ZuGJqWZP9MLivM10wd0lnX5C0UyhNaHewsPGM/595wqZRX1UpmQSmhFNQLXM6UM/q69nbvOoLQCrml/Ag9/uxPfz4uuqxjBsO7d3TXMbrL6/OXgEGj/P9i1q+EqDC8fnO6LguV2vHxLv/XUV3cqgi7WiF2HC1VFQxcUVOP+5fvFK1SzNON29ukJEbq+r2cS8cbLpWlWUW45lKbFLXwiuYnVu7GjsIzOFNxOb7KCLeVpzIFCcJISNz4EVr92bwPO5gaHm5GTFL+EDBohP9fLnB04so9eOy3VM01QnjHl9jUguyCUhz5/TzX8kmxEU5/u8aXbMy14oXVB/gH6oBYLJCjgMrMK8ayrCLDKwOrRW/1Z7k4qEduSIHJJJ9qbwRaU6Z5770Nub+7fWZE9XJAXaYgQfgCn7qltm7ditGjR6NVq1YwmUz4+uuvZZe3Wq0YO3YsrrzySoSEhGDq1KleGae30FqEjvdhV3KhBq+MTjPExeCLgMHaizYs/fEoXl6bi6U/HkWPtnGajpdgql+z9yReXHNAdpL+YGshNmjMGuI5n/GRZjz9eQ7uWbKDqwZQXIQZNsYk3QvCxK2ldQAgXQBQEFAvj74a74u4wpJjwzE0rYWmbapBayFGnnPOLv1b8mORx4UN0PDCMSfzsKK7yNW1lBilvSu6sJWX1uRizZ7fdLmqjHAtE4Sn8KnlpqKiAt27d8dDDz2E22+/XXH5mpoaNG/eHC+99BLmzJnjhRF6F62p0mosGP07NJN1M8RFmHHRZsOFGvHiZHpbC2hl9oY8LPmx0Ck76I0NB/GnLi1QXFbNfbx4avy48te1uRh+KUNNDUrnkwGSKdlSnKuqw70f/iTqXjCy6J61rBorsgrxYEaq2347vrUXl1fjzIUaxEWG4Y0NeTq3LI/rOeUNStdyzr3F/C35mL8lX9JdJF7mIFx1XylHGIDSilpM+3wfAGqbQAQnfpMtZTKZsGbNGtxyyy1cy994443o0aMH5s6dq2o7/pwtJaA2xVNLBoNjheIzFbVIaGpBUkzDBJGZVyzZVwfwXCaGFLM35OGDrdK1RYamtUDuyXLF48Vb40eMVeP7aY4xkjqfVXX1sv2J5HA9F/U2hhVZhZi1/qCm9Ukhd915SjRMHtQB5tCQS4UYL7d9cBwL7z2i55xrJTk2HHdf0xZzNh3h/o3YvSWXEcVE/l8rvrqvCUItaubvoI+5qampQU3N5QdkeXm5D0fDh1p/thaLj2uchiB2vt1/Ci2iw7FgbC/MWm98wKBdVF1640+ICkNSbITk/tVetCkWTfvu4Gn88uoI5Jw4J3m89Fo1XF1/alLZxc6nzcZw79KfFLfb1BIqakVzDBS32eB2roxCKkbDU6IhIcqMaUOvRGiICZMHdxI9xry1g7xRr0Y441OHdEZKYqRTc1BXcSaHa+sCXPp/uTYHcZFmWJqEaO77JbVtci8RwUDQi5vZs2fj1Vdf9fUwVKO2pLqeDAapt+AZo7ogPsriNrlorVEj96YvZSH4d3aRZKE6ARsDVv50DONuuEJyGb2tBBxdf1qKp7mez7U5J7m2K+UeBC67jyau3MO1Li2ITXyeFA0928bZryWxe4AnDfqF1QcQHW4GAI+7ouTur3v6tlNlvRHO55zMQ4iPDFNMEjhbWYdPHrkWISYTsvJLMJ+jrYPStv0hC5IgjCDoxc306dPx1FNP2f8uLy9H27ZtZX4RuGjJYJB7C560ci8W3dcLN/do7bS8WAzAPX3bOb25um5T6U3fKmEhOHamkmvflZbTk93lGMCqtuKwFIFUwdV14jOy55Qre0+cQ72NSV6zPNsW4pLiIsyGjs0EoGWMBX+/swdKLog3pnQU/nX12uQfT2C5QHZBKTq1bIr+HZrhy90n8Ht5jS7RqeY+8XbrB4JQQ9CLG4vFAotFe3ZBoCEUJxMeOjsLz8g2c1TT4VdyYi+vxpxNh+1/i1W65XnTF7pHO5rGK2sucu13+wT5uidaxYQJzgGsSsfrpTW5qKqtl3W1AXy9weKjzE41SnyN2no8WjhTUSdrPVCzba0ZY2IIZ3HmmKuR0TFRdBlfBC47WmviIs3261BvR3QlfNH6gSDUQBWKg4yNuVZc/9Zm3LNkB6Z82pBifP1bm7Ex1+q2rJoKumpcEY5VkYVAV94HvmPF3tqLNmw66F6rw5UQE3B//xTR74Q02uLyaiREyb/Jm1x0SHJsuJMlhud4CVkocscd4Kv0+vrN6bKp5N5GmPg8bXUqLq+WrKrrLYuX67WQ5HItuLJh/ylM+HiPTzOyyi4Fp8dGOl/nzaLC8FBGiuL1Hx9pFs2CdE1F37C/4SXHdV8d73uC8DU+tdxcuHAB+fmX3zwKCwuRk5ODhIQEtGvXDtOnT8fJkyfx0Ucf2ZfJycmx//aPP/5ATk4OwsLCkJamrdBaMKHWZaKmgq4aV4Tw9jj9qwOYue4X1QGPp89XY2OuFS+uycW5KmXLzciuyQhr4q7Ted+khXlswT29EBtpRnZBKQCG/lckop+DBUGtxULK1SbAEycVEmKSTSX3Bq7p/31TExAXadac6aXErG9/kayqq2TxMgrGgDt6tcYNnZsrulw27Ldi8qq9HhwNH8J9F2EOxYJxvVBS4ew6uzY1ARM+lo7POltZh8y8YrfAcdfrM8Qkfu1RYDLhT/hU3OzatQuDBg2y/y3ExjzwwANYsWIFrFYrjh93bivQs2dP+//v3r0bK1euRPv27VFUVOSVMfsral1MgLr6OMXl6iZ2LTVcBIpKKjB30xHuyWtoWku3z9Rk8whiAgCe+WKf/UE+f0uB08SqxWog5mpzRClOSkoAJUSF4dXRV+Ov63I9JjIA8Wy7zLxij27T1RXnKs5fGZ0mO0kbxaaDp/HWHd0VY9Y8GdCtFsHaGhJicoqVA4ChaUmyopTXDS0X4E+ByYS/4FO31I033gjGmNu/FStWAABWrFiB77//3uk3Yss3dmED8LuYVmQV2s38aioin7mgL92Ul+TYcKzaeVzVW3lRiXMwsZILzYQGU/2cO7vbGxYCUDS1Kx0vKZSadypVeh2RnowZo7o4uRVKK2oNFTYzRnXBwrE9kSzShNPR8iQcW28iVTXZ05yrqpM9b948FjHhTTDnrh6YPKgD1/JiVsadhWdkrxetbmje7ROEN6GYmyCB92Eya/1BeyyImg6/CVFhxg1WAhOAu69pp9qNNWfTYSc/P29sTIuYhol83b5TiiX5hUlMa5fsRd8f0VzqfmOuFZNW7nWzaBghbAQB+2BGKkZ2a6XYqdpTmVJNLaGy3wsT746CUq+KK7n7ypNZY66UV19EUkw4Mjo251pezMroKTc07/YJwpuQuAkS1DxMHK0RgtvDtVeQ6xu7a7NGoxGCd7V2e37hqwN24bApr5jrNxM/2YN7luzAtM9yFLOShDfaEenJeHRAqlvAqRJbj5QqBhmLUXvRptj/SitiLic5K1K9jWHbkT88MBLgAYmAcFeyj5Z4NWhX7r7ytnXi9Plqzf3nAHD3pGoRHa5537T2/iIIown6VPDGgppAS9cYHJ76OML6jZxY7u/XDr3axTulTWfll2ha17nKOvz9f4dgaRKKpVlFXL8pU5kqnJlXjLKqWizeWqhZbKiphyMEVXsqHVxNxWlPpjnHR5pxXYdELPiep76Ld4JUeXqoqXmh0NMLynF7WvvPbcy1YuY6eYuX4z7LuePkfi+1fYLwNiRuggS5h54YroF/ShWRhfXzBnJGhoWiqrZettfVzDHpbk0tZ677hWv9Yizkmhy183XOKWw4YNU1QfFmlHiqvcG0IZ3QLiHS3k8sOtyMrCMlbpk13hiLAANwDYc4bxYVhmtTEzB/i4cG4jImpUn6bEWt4npCTMA/7uqBgpJKp1pQrsRFmFFWJS5+XIUWbzVyocheZl4xlikIfldhwvOyFGJyDi42oj0LQRgFiZsgQuqhJ4ca8/OI9GRMG9JZ9iEt8NiADpgrsRwDMKZ7spuw8XaDQ7Wc4ZjMeFDKKPFUe4O4SDMqay/i7f8ekrw+tBZg1MO5yjr8VFCq2GyytKIWz365D1FhoaiolW5LYQTThnSSnaTrbQyz1ivH/jyUkYI3/vOr4vEGoMoao2RtVWtpaxljwcwxV9v3mcdCNP+enqLtWQjCHyBxE2QIDz3eDtFqA/8mD+6IVTuPyQb9JkSZ0TY+Av1SE5AtYd5evLUQPdvFe63BoT8iJSw9Fah6rrJOtrs64O4281bQ7F+W7+Q6/3rbC/CSkhgl+z3vcVm6rUjyu2lDOmHy4E52QaC2N5yUtVXLi8Lf7+zhVnlZT786gvA1JG6CALEeLw9mpOLDbYWy5f2VYgrECA0xYeaYq/H4JfeU2LrPVNThqS/2Ka5LcM14M+vEn3BNYRfwZRqtq9vMW2PhnYiF5TxdxFBJ9Os9LiYAn/58ApMHd7J/pqU3nCtaXxRKJEo9KI2J+ksR/gqJmwBHrseLlsBDHrS4v1wRXDPPfJ6DVnGezcQSMKEhePWMhhRqQQwyxgyzHnz683FMHtzR7RzwWtMSosz4261dYbMx/HWtcYHHjm4zI1J6YyOaoLzqoqFixFPCRkz0i03geo+LlGtSKfZNDrWtThyR2x85CxH1lyL8FRI3AQxPuwVPmZUd3+iKy6owa/1BTTEpa3JOaR6DFl6/pSte/PqAqhoxjmIQEI+N0IJU3A1PMGdTSyjm3dUT13VMvCSOTIZXyj19vhp/7tZKd7uDEJPJI2Lk4YwU/Ce3WNVkbkJD7yWhD5OS6JeawGeM6mJIGwgxC5AWa4jWbDatFly1rV4IwtuQuPERes25vO0Wtj0/2BBTt9jvhTe67IJSw4JtPYVg5Wjo1wTZrC/XEvWCGBSO40MZKfg655Qh+yw2ufFkvl2oqcf9y3ZemmjTuIJb1aKUeszL2co6TBvSCcuzigzt1D00LQl92idwizrhin/ztq4AoCj6pSZwa1k1Jq7ci/E3pOLDHwt19f0qKqlw+luLNURrML6YmON5Lmlp9UIQ3obEjQ8wwpyrpqN3/w7NNJu6ecbq76XWm0WFIXv6n+zNNUekJ+P9+3q5NfVMupQxIiYGM/OKcf1bm136O5lxc/fWWLvvpGaXkJQ7gNf1V1xW7ZHeRiEmoHf7eFVjkSMlMQoL7u2Fez/8SffYBGtD7/bxGPgOf164a0aQUiyJUuzK0m2FeOSGVHy73+omkv7cLRlLfpQP3gaAlT8dswcVa7GG6AnGFxNzYj3MXr85HSO78VepFnO5UWwO4W1I3HgZo8y5akqpa32wyL25Tvh4jz3bw9el1iPDQlEpkhos7OEbt6a7dQ1XCpR0FINSx+FsRR2Wby/SNGZHd4DU+RHGuKOgFJNW7hG1engq9sTGgH9nF+HBjFSEhpgwNC0J0RYzso+WAGjoMP3sl/u4W2UI+2VEIUihBs3uY2dVrcs1I0guvoUnyN3GgCU/FmLhWOeUaDWi6/fztZi/OR+TB3fUZA3REow/LiMFQ9KS3FLHxa7xMxW1mLhyDx77LRXTRza4ZdU8e4R1U2wO4W1I3HgRHnPuS2tyUVVb71S1VwxeQVFUUuFmceB5sPC8Ec7ZdASrdp7Ay39OMyT+QAuCwJq/OR/LswqdBIBSbJFS8Ga9jWFHQSleWC3dd0oLju6AzLxi2Qd/aIgJISEmQ905vMxafxBLfixEn5R4bDtS4jSG1XvCcXOPVorVmh1FXGiICTNGpRlmaVJrMZTKCNK77lnrD2Lb84Pt92p2QakqwSHUjeJtfCsITrXjlLrvee71D7YWonubOIzs1or72dMiOpxicwifQb2lvAhvQ8dpn+9T7EPE02MmPtKMOZuOyHa6dqXexpCVX4KnP8/hekAXl1dj0so9GNPd+w+o5Nhw9GmfgG/3n2ooGf/SENmmj1LU2xiyC0qxNucksgtKUXvRhnmbDqP3rEzcu/Qnw4WF0LcLUO5EDvjW7VdcXo1v91vdjkFxWTUWby3EowNSERdpFv2tWExHPGcDVrneXYIVI7EpX68kATUWRjXLunZ913K+lm9XdmEBDUKq96xMzNt0GPU2xj3OGaO64IdnByE2Isx+nQu92HitP39dm4t6G+Pub9W7fbzsyxzg/U7vROOBLDdeRO1DT5jkpg7pjJTESLdgXqVUb6lHhpSZe2OuFS98pS6TSGDdPisWjO2JWesPeq1mTVVdPe5dejmGQ3gz/XO3VthZeAbf7j+l6IYTM5mbTADz0PN2xqgueDAjFQBw/VubFR/8Q9OSVE20nq7/IiBcQ+v2WbHzxSFY9H2+W8CwmOWM9x6QO/6CFQMMXG4unowgV9dg7/bxqlxojvulxU2r5p47V1WHOZuOYPn2Isy6OR0JUWGSwe3CvifHRmDgO1tELYQ1F21c2z1TUWePo5ELMmcA7r6mHX4uUh+bQxBGQeLGi6h96AkPDcd2B46mZaFD9ZIfC50mA5MJGNk1Gd/ul+4+7fpg2Zhr5e4bJbWu+CgLtj0/uCE9vLwaZy7UoKi0Av/ecVzTepVwnRCKL8UCuWY7SZnjpUzmnhI2ybHhdpcCj+tCOD88qeFRllC8c3s3r4pL4bzvPnYWU4Z0xuTBnRRju4yMzyqpqLFPsnKnTJhspRATuEkx4eiTEi97DzniuF9qmtg6ItdfSoxzlXV4YtVeye+FIz+mezImrZR2DU0d0pl7jIKIUwoyn7PpMOIixC16UuskCCMhceNFtD70HHH0VQMQjXmwMXA/lIWAY6WOwbzrco1jycov4RI3TS2huPfadlh8qT2AluMj/EZM9Lj6941s+SDUPXnx61zZN/Cqunpk5hVjRHoy9wM9M6/Y/qYsJz4rauqx77dzdnF5+nx1g9uGNYgAx/8vKqnAqp3HuYOBlRD2xfXcC+4+R7HTNzUBSTEWQ7bdIjoc/Ts048rkmrPpMD79+bibyN2w3yoaAyS445RwzNxy3NcZo7pg0sq9qixpD2WkYO6mI4ZZ35IuXZez1h+UjfP79OfjiI804yyH9chRxAkB7/M3HxHtCcbrzvV1QgIRnJC48SJG1AxxdCkxxnQ/BFtEh9stLXpxfUjxdvlOiApD1vODkXPiHOrqmWE1ZATE3HBGtnwQJszh6cmYvzkfi7cWiDZ2PFdZZxdZvA/0r3NO4aVRaRh8VUvFa2bJj4V4ethVbum3QEMhvb5XXLakCFaW4vJq7Dl2Rpd1TWxfpDJkxnRPRjWnG0QKsS7ZjgUls/JL8eWe39x+5ypyN+w/hckylg+ecQANlhExl8+jA1Kxbp+V223Wp30CHs5IwZoc7aUFBBKizPjh2UGKGWWC9e3JwR3xj835iuO8WG9DvY05WeQ+/fmEpjFqLSBIEDyQuPEyRrYu0IPjg+Xb/fqrBCe7PKR4CosJj8f/690ag//+vdM+Gd352TXb5H+/8Fm2lBiXkWJv/rmz8AzaxEfAZJLea4YGkfXDs4OQEGVWnMTOVNRi/uYjaGppoihkhfTtcTdcoZh+62hlGdO9FTYdPK3Jouh63gH5EgJKjTt5cW0dIuxPvY3h7f8eEv2No8i12RgmrtQubICG+2dM92RR66kQcL1gbC/ER4UhM68Yy7KKJAv+ucaPRYc3wfnqi5rHdqaiDruPneW2ENo4fLEMsBeOFK4jvS8JWlvAEIQSJG58gNObZnk1Zn37i2F9gcRQ6i1lhFnYtcopj8tHbnIwUtg4Mmv9Qfw987BoXRwtRISFYt6mw6rcPEKcyq09WmNpVpHi8nM2HcGNnRMVlwOAY2cqVaffChZFtTFXJrhPTvU2hhe+Ek+dN4K4CDPevL2rk6B0dHvxFpj769pczWOYPKgjMjom2uvZyLl8Zq1vqBLev0Mz9E1NcBOccZfcQa7uTD3CRkA4LnzwCwyhztX8u3uiXseZnjqkM6WBEx6DxI2PcHxzjjCHyHbZ1sO0IZ3x6c/HZcvMN8RBhGt2TU1zeUjxvs29fVs3PPfVfq/XxjFK2ADA/C0Fmn5XXFaFIWlJXOIGAHYfP8u1XNv4SNXF4OptDLERYbg6ORq/WM9zbSc+0ozZt3V1m5zmbz6iKduOlwX39kJGx0RJy9TI9CSu9eh5mejUsqm97YiabCDXwpGJTS14+vMczeNQwrFwopRVTrDg9u/QDPO3yLulXJn86V6M6sp3vMVISYzU/FuCUILEjR+g1lXF06FaWGby4I6YPLij2xsuAKcAyJf/rK24WlKMBZMHd3T6jNcU/lORumJnwcSZilqM6dGaO934fHW9Yoq6CcDZilquCXdHQSkyOomLBCXu6NUGb93RTbTn0HJOsaYW4Xrud0UzWcsUr1jUQ4vocHs9KB4c7wfHl5rsglLDgrpdSYgyKxZOdLTg9ruimaZkh/UHimFpEsKdTu6ImFWJ2jQQRkHixk9wfasrKqnAHJHMCZ4O1WLF01zbCYi99T42IBWf7fqN681b2MbMMVfrSPfV9tASAlNdgzWFFHBv1XrRQ0JTC0JDTBjTPZk7DmXQlc2x+dc/JL9nABb+wGdJmrRyD+66po1ihWFXWkaHiQoboMFiZ0TBQ6VrXqkwXMglESgl+hOiwlCqMWA9OTYcZytq3ap+y1FUUin6uSdToG/t0RoAMG/TYUnB6WrB1ZrsoEXYAMDZCmdhR20aCCMhceNHuKbSXpkUrdi5WMziI9d2QO6ttyEAsidiI8OQXVCKgj/O46fCs6KZS3Lb4El5N5kaJiG1TBvSGZMHd0RoiAnPjegi2uBST7C2t0iKaShNv1hFgG3/KxKxq+gsyg2IxzhXVacpuLemntnT2V3RO1mHmIBx16fg2/3FktczT30goeCtlEiadXM6Zq3P0xRAnd46RrRmjBxzNx3GlUlN3Y6ZJ1OgYyLM6P16puyLyoxRXZzGZESygxpmrT+I4ZeC26lNA2E0JsY8VbLMPykvL0dsbCzKysoQExPj6+EowmOm5TXl1tuY7BunYPrf9vxgZOYVy2Y7LRzby6lTsCs82VJAQ9PLqlq+sETH8cmZquttDCuyCjFr/UGOtXqf5Nhw/PDsILf0YTk8WTVZDcJRX+DSLFII5r1nyQ7d6xdbt3C+X/vmFyzjcD09nJGC/+QWS1oBhOsTUGelCDFdFk+8SF239TamKEA8hdy9VG9j2HG0FJM+EW/WaiSrxvdD39QE7ucSuagaN2rmb7Lc+DlKzR15lwH4elsJ8Rhy2U5CFsjw9CTJh82I9GQsGNsTk1ftlZ0MhOBeHlM4b7n20BATHsxIxYfbCn3SzFMKR/eK2o7W/iBsgMvnyPW8NhQyTDOk67drI0qBjblWLmEDAEPTkvDSqDRJ0S9YKdS2G9HSBkm4budkHkJGx+b2cWTmFftE2DiOSexeCg0xIaNjIt68vavmquW8nD5fzf1cojYNhBqocWYjgtdtkH20hPthI4ZQmTbPWs41GURZQtEyht9Ez7MfQnqzn2gCAJcbZqqpUOyv76mu57W4zJgGqlLXllBegAeh9o4g+v/crRUA4Nv9p5waRg5NS0J4k1Bd41XD/C0F9oa4G/ZbFfcnMiwUJnj2GpC7DkekJ+ORS33QPEVRSSX3vUBtGgg1kOWmEWF0oK/Yw0ZL9k1FTT0W39cHvxaXc7mShGwVJVfciPRk/Omq5vhOJgjXG0SGheKxAVdg8uBO9jHyngt/EmdyODbSXDi2p2IrCiVcry01xeLuvqatvWnq2Yoat35bgnsqNiLMkMrcaikuq+bKTKysrRct5RBpDkVlnTHlDH483HBviN1DtRdt+CrnpCHbkeLTn4/j3f/rzrUstWkg1EDiphHRu328YsxAiAm4NjUB87cor0942AhCQ6jCqoWSihq7K0luEmvIVqlx89E7xlMI4ykur8bOInHrktHERZpxfcdE0X5EVbX1mLvpCK5MirYHRfKci0DI+nLEsYHqzheH4JF//YytR/jSpV1xnch439qjwkJF+xw5IgSpPpyRomlselFzTlMSI7Ht+cGYvzkfy7MKca6qzjBhAwBf7jmJL/c0CBjXmKQX1xzwaHFRwLm7u1ItHmrTQKiBxE0jYvexs4puIhtr6EPE+7DRYqkRo0V0OFdqdKu4cExauVcyq4K3n49WXNtCRIaF4pqUePy5WyvM/o+41UkY6wurDyA63Ix+VzTjOheBJGwcycwrxlOf52g6B1ITGe9bO09la8HKtMbDVgkjaBEdjsy8YszddNjj14PjPaS2RIAeso+WYsaoNExayVfWgiB4oGypRsTanJOY8mmO4nLz7u4BSxPxqsnC40XoSs6TEaVE8qVMCACq6ocYiRoryehuSfjxSKnmTJLk2HDclJ7EZeWKjTCjzMMZKyEmYMTVSfhPbrFPBZXjteWa9itk+hkdIJ4QFYazFbV+JyQFkac2q851HVr2S0tGmF6kaldRnRvCETXzNwUUNyJ4335bRIfbs0mSYp1/IwTFDk1L4uofxcOY7smGd+pWw7Qhnd32U45v9hfrSpEtLqvmdt91SY5WXCbcHIIH+rXXPB4bAzYYJGz0vFw7Bly7IgSIA8YG2N7So5WBa9OG6/7oyaoTiIs0qwrSd8Tbwga4XGdrxqguWDW+H+bd3QOrxvfDtucHk7AhNEFuqUYEb58ZwSXgWjXZMeiQp5gaL4u3FqJnu3h8seuEIetTQ4gJePzGDvYWFVn5f2juF8WLmrljx1HpmCHHQOWdhWfwrx3H9A9OI4KVgHdiFCbwqUM6IyUxkqvUvlSRubgIs2axOTQtCX1TE/DMF/txoUZ7cUTXDu9JMRZUX7ShrLJO9l6bMaqLW8CzY9HCtRpdZ+cq6/DJuF7cQfq+5nKjUfEyAAShFhI3BhEIPVGEt1/elg3Cb8RqSxidlvn86v0oq9JfeVctNgb8XHgGGZ0S0b9DM59kz6jlpvSWuO/aFPTr0Mx+rniqQnuSpEtNK3l7O8lVuJa7l8QEt40x3PvhT6rG6yrkI825uKChzZOj+2j3sbNu1bKV7rUR6ckYnp4sub96MoQcg/T9qd6TFFTPhjASEjcGEEg9UaTefuUmGzGk+uVogQE+ETYCk1buwZu3dwUAzPr2F5+Ng5efCs9g2NUNE6IwEcoJV08yeVAHe2G6nYVnuMTNjFFd8GBGqqj457mXXAV3vY2pEnauQn7epiM4fUF9rynH9YQ1CXGbkHnvNbkinHpEqxCkL1wXvkK4Hkemt8SG3N8Vl6d6NoQRUECxTqTaDMgFR/oDeixN9TaGjDc3c1s5osJCUFGrrbkeL4GWNm0UrhO/lDi4+5p2mLPpsGHbFSwW797RHSUVNWgRHY7e7eMx8J0tim5PKbeDnntJTTsF15Rn3iq8ru4v3hcYNe1RxJZT2ypC7Dhv2G/F5FV7fBJP41hXiKc9x6rx/chyQ4hC7Re8hFA1VapDsQkNHYyHpkm3KfAVvC0bxBBqyPDywHWpWPi9Z+NYki5lWwiNKP1B6ISbQ1Bd51lR59pYUHDb7DhaiuyCUgAM/a9IxDWpCfj05+OGuCcEIVlVV497l152ByU7nAO1Kb1q7yVXITA0LUnUSiK0hYiPCnMTDWqqHgPAgrG9EBJiUv1CwHOvyVmshqYlYeqQTlieVaQYWyR1nOOjwrwmbEwQj6WqtzEkxVhQXC7u/6N6NoSRkLjRQWPtiaLWbJzRMRFr9p70mN/f0c3Rs1286n5BnqJzy6bY/1u5R7chNvH/N9eKv67NtQe4zt9SICs81BIXacbZyjq3YyxkvIjVGlJye3L3PTtaivPVdZJCYNvzg7ktkmqz88qq6mSbxbrCa7GR64g94eM9iIs0Ox3ruAgzHspIRacWUbLByI54y9UTYgLm3yPeVDczrxjVF8XFPtWzIYzGp+Jm69ateOedd7B7925YrVasWbMGt9xyi+xvfvjhBzz11FP45Zdf0KpVKzz33HOYMGGCdwbsgqd6ovh7cLKaIMfk2HD0u6KZR/3+idEW+/EZmpaEmev8I27G08JGwFFEf3/od9EiiFYZ4SFVY0RyexKebMcWDGIBtnLXMO89Mv6jXfZmq464WrB4UHtfKjWLdYQ3Dk/JYgXATUSWVdVh7qbDWHRfL24x563WBTbWYCVyRUrACcRGmvHmbV390oVPBCY+FTcVFRXo3r07HnroIdx+++2KyxcWFmLkyJEYP348Pv74Y2RlZWHixIlo3rw51++NRk3dGF4CIThZTZCj8CbG2yVcC47Ht8FlpiHtJQj43y/FWL69SPJ7Bnnh8dyILthRUIpJK/fIuj/OyQR/C0Jr97GzstZKVwGf2NTCsYcQFTbCdtW6gdVO+K5WWKUYGakq2o4CTEttJ9d95bEK901NUJUyH2kOQaVGl6qraJQTcAIR5lAMTUvStD2CEMOn4uamm27CTTfdxL38+++/j3bt2mHu3LkAgC5dumDXrl149913fSJu1NaNUULNQ9GX8GTmxIm8icVHWQwVNmLHt7isyrgNBBhf7vlNcRk54REaYkJIiElXgUIBOauImIBPirEgLtIsWReGB7Vu4L6pCbIxIGII+yX1EiLUrZGzxDgKMK3uIrX7GhpiwkMZKYp9t4CGmj3392uPed/laxqbq2jkEXDWsmrMyTyMjI6Jhluq/d0STniGgIq5yc7OxrBhw5w+Gz58OJYuXYq6ujqYzWa339TU1KCm5vLDq7zcOFeBlroxUgRacLJkQbVIMx66LhWTB3d0G6eRfn+p43umQn1KbzDQ1BKK89V86fRy58GocyRlFZES8L+X1xgWj8W7D3IxIFK0iA6XfQmZuHKv4jqsZdWYv/kIpgzprNtdpOZ8TR7cCcu3FynGo71+czqGpyfjX9nHVMeuJYu8zPGOcf6WfMzfkq/bUu0oZopKKrFq53GnBAh/s4QTniGg2i8UFxejZcuWTp+1bNkSFy9eREmJePfh2bNnIzY21v6vbdu2ho5JqU0B7w2kJjhZjnobQ3ZBKdbmnER2QSnqPZgiMSI9GdueH+xULn33X4diypBOHvf7J0SFiR7fBE73hvO6zHhsQCriIt3FsadoJhKXoIcbOjXnXlbuPOg9RyaIT3AAn4CPizQjNkLfeVDah3obw7xNRzDh4z3ck7ewX73bxyvGyPAwZ9MRbMy12q2/Wl9X1Jyv0BAT3rytq+y2HhuQipHdWnEtK0ZVXT0y84o1jxG4bKnemGtVufUG8Xz9W5txz5IdmPJpDuZsOuyW2aln/UTgEFDiBgBMJufbTQhudP1cYPr06SgrK7P/O3HC+BL/YpO82p4oRgQnu97Y9yzZgevf2uzRm1hIc725R2v0d6iYK4bSg1yY3Hj466guosc3SWU/nWZRYXht9NVYvLWQa6IzoSFbRStNLU3wybhrkT39T7omNUfiIs24j7O3VEKUWdZNynOO4i+dI7meSGLXAY+AP1dZh8mDOkguI4ecsBLYmGtFxpvfqar5Y0SvJzGENHQtPbMc91XNC43wMpbs8jLWLCoMC8f2wvSRaYrLxkWaERUWKrr+sso6N+GgVsA5uu/UvJwJFjWl86N1/URgocstVV1djfBw70ThA0BSUhKKi53fCk6fPo0mTZqgWTNxv7PFYoHFov5tXi166sYA+oOT9cbreMMvzePGe+i6VK6JJyk2QnTcvdvHq4qjmDnmaryxQTxGwhX7GDljF8S4UHMRISEmhDUJMayi8Ju3dUW/K5ohOTZc8cF+c/dWTpWNXeE5R7Nva6jm7OqSjI8y4/5+Kai5aEN2QanbNngFfGJTi+qqvDxuYKWMHSmM6PUkhmCJlXLxxl9KuZdzeWfmFatOQJDrGcezbO/28Rjw9mZUiAR3i7nQtVTPVhtTxBO0rHX9FLMTmKgWNzabDW+88Qbef/99/P777zh8+DCuuOIKzJgxAykpKRg3bpwnxgkA6N+/P7755hunz/73v/+hT58+ovE2gYSe4GS98Tp6MrTU3vhKJemHpiUpFptLiDKjuLwa8zYdEfWnX5MSj2/2F0v82plX1uU6NTyUI/ZSPFG7hAgkRIXhbEWtJlEiTPJSx4IXkwlYcM9l0Tqme7JoGrgjy7cfw/Ltx2TPL2/bAJsNl+rpNMQ5namow7zvLos+123wCviSCzW4KT0Jy7KKRCd2BrjVflGqo6N28gOAv/Rvj5vSkw3r9SSG47UgJjjExIuwrwA0v9CoeRlzXTa7oFT25UFMOGi91nkFsZasM571B0L2KiGOanHz+uuv41//+hfefvttjB8/3v55165dMWfOHFXi5sKFC8jPvxyRX1hYiJycHCQkJKBdu3aYPn06Tp48iY8++ggAMGHCBMyfPx9PPfUUxo8fj+zsbCxduhSrVq1Suxt+h57gZD3FBPVYfNTe+IIQqrlow7t3dAdMDROZqyhSess7U1GHaZ/liI7JWlbNLWyEdfFyrrLOkBYGjmnPrpNaYpQFT3+xj6sCNGPAkdPnATS0EVisIGwcEc6vVFdupbf7jblWTFopbwVxvYZ4Swi8seFX+/+bTA37KeAogtWIai2T303pyW73i9ENSh3FkpjgkDoPAHD9W5t9koCg1YU+Ij0Zg69qiX6zN3Hfd7xiUmsgvNz6AyV7lRBHtbj56KOPsHjxYvzpT39yKp7XrVs3/PrrrzK/dGfXrl0YNGiQ/e+nnnoKAPDAAw9gxYoVsFqtOH78uP371NRUbNiwAdOmTcOCBQvQqlUr/OMf//BJGrgn0NrUUuvDRo/FR+2NLyeExB7oC8b2dKqyG0w8/XkOZo65WrJx4swxadz9jpZnFeHxGzuqtkoIyzqKNaUGlQK8VhCxa0ite0IIiRiXkYIhaUlOIkaNG1jN5OdqJXW1Ts4Y1QWTVu7V5U5UUyZC7DxkF5RyvdCsyCqUbFKqFW4L3PkarM056SQ+dx87y31PK8VPCdTbGErOq6ttpXT8eYorvvDVAURbzOinEGtI+AbV4ubkyZPo2LGj2+c2mw11deomohtvvFGy2ikArFixwu2zgQMHYs8e33W49TRq/OECWuN1tFp81IoiLUJo1vqDQSlsAKC4vAYTPt6DhWN7YmS3VqLLNLU0wYUa5dTuc1V1+Hd2kSFBrrxvpGqsIK7XkCDgZ677hTsuygRgQ24xXhwlHU+j5B5V604SrKRSolys0rNa9LQa4BVrs9YfxIfbCp1Eq3CsisuqcKaiFglNLUiK4Y8l4bFehZgati2QEBWG129OR52NP/We5/iInR8leOKzeK7xc5V1uHfpT+Sm8lNUi5urr74aP/74I9q3d87O+OKLL9CzZ0/DBhbsyD2M1QYna43X0WrxUSOK+qYmGCKEtKI3WNeTTF61F/NhcurDo2X/i0orDBkPrztDiwvA8Tcj0pMRHW7GvR/+JPML53HJBX/yuEd53UmuHcOlRPnirYVYMLYX8qxlmL9FfVPYUd2SJQOveVAj1hxFK+AeCC7AO0nzWOBck5DOVNRi4so9+DNnb65pQzorjsOIAHEp1Fzj5KbyT1SLm1deeQX3338/Tp48CZvNhq+++gqHDh3CRx99hG+//dYTYww6jA5S0xqvo9Xio0YUGSWEtHB7r9bYrmC+d8QbXbwdsTFg4so9eD+k4aGoJejVaFyFhJgI1xJU6/qbkgvqW2SIXXe8VkGeCXnakE6YPLiTU8dwOVE+a30e7uyjrW7Wt/ut+HZ/Q7q0lntfTeyPMN7pXx3AWZlyB1YVk7SUCz3E5C5sHPl2vxWxEU1QXnVRctxJMRZMHuzuHXBEzb2SFGPBPX3bISUxijvbSc017o9FVgkNdW5Gjx6Nzz77DBs2bIDJZMLLL7+MgwcP4ptvvsHQoUM9McagQqoWg97CUlqKCfLUNBHze6sRRUYKIbVsOngaM0Z1wSePXCtbm0bYzw/u623YttUg1NvQuv892sYbVjNH4PT5asm6SWcrari3p/cakvuNkgBhAF5YfQBZ+SWotzHJeyQ5Nhzv39cLU4Z0tk9MvKL8o+wi1fvhipZ7XxBrAF99HAbIChtHeOu/uNb3uqNXG672KhcvLSRWJ8mEhvIMSgKB916ZMaoLsl74E6YM6cxVi0tAS20eniKrhPfQVMRv+PDh+OGHH3DhwgVUVlZi27Ztbm0RCHd4gtT0FJZSW0xQ7gEpZ/FRI4o8IYR4Kauqw8SVe7Gr6Axu79VadBnH/by+U3OvVikWEB6KWve/VVyEpkJwchSVVEqK8Ekr92JM92TF7em5hlzXIyaQuOIiqupw74c/2YtZit0jPzw7CLERYU5F8HjPBa9gkEPrvS8l1vSORc0kLbjQLU1CuHqbAUBFTT1u79XGrRK11IuYWJFC7ppJ0RZNlhS14lHA6GcYoR3VbqkTJ07AZDKhTZs2AICdO3di5cqVSEtLw6OPPmr4AIMJPSnbvKiN1+HJ0BJzTQgmfimECU1NPJCn3nocC+5JpRYLD9Q3b+vKnalkJMKxVYsw6YeGmETPY3JsOMZ0T+YOfjUBaBljwaqdx2VdMuv2WbFgbC+8+PUBycrOcrENvJlTcgJJzURiLau+FMTdCyO7XU7x3phrxcB3trgds7uvace9biPQeu8LCQgrsgqdAnj1IhxbnjpWwkubGhyFUFyEGQ9liPejk3Lh330NnztQT10iLbV5jK6DRGhHtbgZO3YsHn30Udx///0oLi7GkCFDkJ6ejo8//hjFxcV4+eWXPTHOoMCIFgueQC5DSy4+6NEBqVjyY6GTKTrEBIy/IdUpnZg3HsjoGiJiOAqbhKgwzBjlPPmOSE/G+/f1wsx1eU61ZuIjzfb2AJ5AOOa8++967OptDLERYXhu+JWiGTDPjeji0EywAnM2HZE8H/f0bSdbgVmYiI+cPi97PGZItMgQ4Jk85ASSlolk8qo9mI+GLDW5eJ25mw4rdimPCW+Ccs5mpbxo6WofGmLCgxmp+HBboaH1d3hjA/W6k89V1WHupsO4MqmpW9ak1PmZs+mI7PlRk2ovh/Bs3HG0FJM+2YNzVeLXu1HbI4xDtbjJzc1F3759AQCff/45unbtiqysLPzvf//DhAkTSNzIoLfFgicRs/jIPVykrBuMAYu3FqJnu3j7g0pqEkuICsOsm9O5hJAnOFNRi0kr92BRSC83gSNVOM3oN2Sg4c1VECG8++846W/Yb3WqFAxcnoSkMvCuTIqWtNbVcHbKXp5VJPldQ8DtQQy/FMwr4GoJGJqW5FzEsKkFYEBJhXtxR1e0iOGGIO69WHhpfHLWKZPD/4stV159UTGAVi2z1h9ERFio6sQCnpeIWJeqzmIIk/TZihpMWrmXq3yDES9jDMDMdb8gOtyMkgs1SGxqwcx1v8ieH8cxqyl6qpbQEBMyOibizdu72q3VntweYQwmJldoRoSmTZsiNzcXKSkpGDNmDDIyMvD888/j+PHjuPLKK1FVpf7Nw5uUl5cjNjYWZWVliImJ8eq2620M17+1WdFFs+35wT6/SYSxamoLAPH92LD/lFthPrE3Qak3xpduugovf/OLofVvxMYqZ4pfm3MSUz7NMWz7QEOWzpQhne1/S5vi27lVE569IU+y5YIJkM18kdrP7IJS3LNkhyH7tmp8PycXkNGl7AUBDqgTw3ERoThX5d4byZVpQzrh059PGBroLodwt2hNK5Y7xoB4uwbX7S8Y2wuz1ktb01zvGSOvF7VMG9IZn/583GvtEagdg29RM39rqnPz/vvvY9SoUcjMzMSsWbMAAKdOnZJsXkk0oKfFgrfRY2oWix9oKNfP9yYo5yZr0iTE0Do4rmNVengZbVWLjzRj8uBOTp/xFnLcsP+UbC8pBvn0VKn4LJ44KR4rAHD5rd5TpewvFwXM42pZIcAjbAAgJTEKPzw7CP1mf+dkGXPF1YKj1aKjN61Y6dqRcwMK13lsRJiq2EBvuJOlSEmMxLbnB3utsaWWIquEb1Atbt566y3ceuuteOedd/DAAw+ge/fuAIB169bZ3VVEA2JvxlpbLHgbI0zNjkGJats8SE28wvF7YfUBSf+31rHyTMBD05IMe5Cb0NBhW43wEKi3Mfx1ba7iNrQEqRrZvb1FdLjuxq5iON5bRSUVYMwz9YlaRIdj0ff5ssIGaBAyM0Z1QWK0BSXna3S5LvUmFgjXjnCMvt1/yun5I0zOUhWKeTufC/e3t93JjhSVVKpOotCLt7dHaEO1uLnxxhtRUlKC8vJyxMfH2z9/9NFHERkZaejgAhklC4AW9a+2A7dWtPRqEUOwchidJTYiPRnRFjPuXcpX4ZaHxKYWPPPFPq4JWG7iZ3DvWC0WjKzXlL2z8Ay3e06LUNXbvd01C87I86+l5L5aHGNP5IKrHUmMtuDmHq0x65tfDBmDnhcMpeeP3HHWEhsodb0I7lQjGs6K8enPx0WzrAS89cwk/A/V4gYAQkNDnYQNAKSkpBgxnqCA1wSvRv3z+HqNuJGNmDhcMwc8kSVWVlVnWDBncmw4wMA9AfNM/GLByEY+ZNUcK8cu5GpQEuGvjJZu8Mlw2cVq5Pk3uj2HHDNGpWHWev4U55LzNViz9yQ+2XlceWEOtLpA9boAtbZzkQvEd42LMQq9bTmI4EW1uElNTYXJJP1QPnr0qK4BBTqeMMHzPKwA954xam9kIyYOsdgho7PEGuJ3jJvgxnRPRkkFn6VKmIBHpCdj8FUt8e/sIhw7U4n2CZG4v38Kwpo01MUUe9gaacpWM/G5diFXgxEmeKPOv7faU8RFmPHm7V0VY08ccW0UqRfejtiuGPH80RMbKHW9COvzxLnT05aDCF5Ui5upU6c6/V1XV4e9e/di48aNePbZZ40aV8BitAme52El1TNGzY1s1MQhFjuk9U1Q7ziTY8MxY1QXxEdZ8OGPBfju1z9El1u8tRBTHbKV5BAmYLG3Qtfuy55EOKY8k+/v5TWGP9CVCrc5TqJGnX+j23NIseDeXsjomMgdewIYmw5ugvbEAqOeP0bHBkqtr2lYCC7U6ouXEu5Je7fz8mrM+lY+jVxvHyhyd/k/qsXNlClTRD9fsGABdu3apXtAgY7RLhieh5VUCXg1N7LWicOEhno1fx3VBUmxEaI3uZFZYmp6yjyYkWovcPfU5zmyy3/683EkxVjwe3mN4gRsxFuh68Oxd/t47D52tqHWS5QFMDU0l5R6cArHlKeaslEPdEfUTqJ6z3+9jSErv0T3uJVoammC0+XVyC4o1ezO00N8pBmzb+uqWYQa+fwxOjNIbH3b8v/AAg1d1QH3e5LXna43YJvcXYGBppgbMW666SZMnz4dy5cvN2qVAYnRLhi9WUu8N7KW7QiPuDduTVe8qY16E9TSU4Z3Ip42pBPmylTuFWqF6DX7b8y1Yua6X1BcftkVJpdlYsSD04jWHo6onUT1nH89cWBqs3cu1FzEtM/3NYwtxoIoSygqavjSxvXQ0IIgxd6VXCtGP3+MzgxyXV9Wvrg1VQnHezIzr1iTy0vLM4/cXYGDYeLmyy+/REIClZ7mqfmQEGVG7/bxEt86Y1RdFaUbWct21AoTI94EtTy8eR9iKYlRihNwdkGpLrP/xlyrqLVF7sEs9uDU0s8HMK61h9aMGrXnX2scmCBq9HiLpKx4RpEQZcatPVpjyCXXnREWtb6pCUiKsTgJZ0c81SZAq5um/xWJmK/BcuMYvH/9W5s1nSe1zzxPxFMSnkO1uOnZs6dTQDFjDMXFxfjjjz+wcOFCQwcXiPDUfDhTUYeB72zhEgZGFchSupF54iJaxljw9zt7yLpLlND7JqglfkPNRNy/QzPZCViP2b/exvDCVwe4fu+I2INTqxvRKLGsNY5GzfnXEwfWMsaCUV2TsVSmRYQSnhI2D2ek2GORxO4fPfEcmXnFqJZon+GpQqF63DT9OjRzK52gxORBHTFtaGd7dWS194FWgeeNxseEcagWN7fccovT3yEhIWjevDluvPFGXHXVVUaNK6DhaQjIa8ZUildhgKzpnPdGVhJlDMDLf74aGR0TZdfjabTE76idiOUmYD1m/x0FpZobbwoPzjmZh5HRMVF1g0Wj39i9UW1bjYBzLwtgQkyEWfO2PQHPhC8mFBKiwnBLj1aygkj4rZyVKzbSjDd1xPOo2aaa59ubt3Xlih0TyOiYqPplQ0DPtemvjY8JcVSLm1deecUT4wg6hFRhqbLtasyYUmIpNrLh4S01Yaq9kZVE2az1eQgJgc99ymrjN4yciPVk/mw/qj8gdv6WfMzfko/ocP5b1xNv7EIX8ocyUvB1zimna9yoattqJgnXbKXfy5U7R3sTxwB3KaSEwpmKWizLKsKyrCJJgcRj5Yowh2JoWpL2nXDBKDfNiPRkLBzbU7Q9iyuuKfJqLZF6rk1/bnxMuGNYzA3hzu5jZ2XLtqsxY7rGKxSVVGLupsOyDwMtN/KI9GTYbAwTV+51+86fgubUxm8YFdCsRyidOmtcU9nz1Re5lzW6tYe4dcH4+BE9k4QwuQp4uy2AKwlRYYrZYDwuOKvEPchj5TLaZWKkm+bI6Qtc5+fua9qptsoqZXPywhMiEB9pNjyeidAGiRsPYrQZ07FnjFIQXbOoMPzw7CB7UTle6m1MshiZvwXNqY3fMSq1lVcoucZOJMV4541OmMiVYju0IGVdOFtRh2VZRbjGwG3pjTcTWl5MG9IZ/8ouUuwP5UmUtq02hsr1HvSFy8SobW7MtXK3uEhJdG7xw/OywZPNyQNP+YWzlXXIzCv2+csfQeLGo3jKjMnzICytqMXuY2dVv6UFe9CcUamtSkJJzLoRH+mdGBBPNWGttzHMXOe9bBGjGjKmJEZixqgu9hRvX5CgUDNHjegQuwd94TIxYptqs/7E1uXNZsRD05JkA6D96eWvsUPixoMYWZnXEU++pXnrDTAYKnxKCSUp64bWYGI18MR2OKLmPMzffATF5d4VvjzB+Ur4QwyEktVOyxgd70FPPWvkMGKbaixWci0pxF42hMKYa3NOGvaM2Vl4RvY+DvSXv2BCtbh5+OGHMW/ePERHRzt9XlFRgSeeeALLli0zbHCBjhGBrGKTjyff0rzxBhjMFT6VgiyVGJeRgsFXtQRMwBe7TuDrnFOqtu9YvFAJNedBjevA6GwRIQ7sr2tzuTuhCzSLCkPv9vEIDTFxTcTv3tEdJRU19pg2QH+sTlykGTYbQ72NSZ4bLS44x3vQG9lrrhixTTXXitK6HF82NuZaMfCdLYY/YyhjKnBQF5AB4F//+heqqtwDI6uqqvDRRx8ZMqhgQnjzTIp1FgNJseGKgbkbc624/q3NuGfJDkz5NAf3LNmB69/ajLMVNUiODYfUbW6C9sZ7wkPWE+sGLls1XN/WhGDljblWTes1knobQ3ZBKdbmnER2QSnqVTQO4n0TjY90fq9IirHg/ft6Ycboq5HRKREZHRMxsHNz1WPnaT6ZXVCKWd/8ggmc58EI14FW6m0M8zYdxsSVe1ULG6DBPTvwnS3IzCu2V5h2vbYdJ+KMTom4uUdrTBnSSfS+1cK5yjrcu/QnXP/WZtHrW3iBuSk9yS0QWgqxe1DuWbNgbC/ERoRpuqbl0PN8A/ivlWlDOqtuACx2bU/4eA9e++YXzceAMqYCB27LTXl5ORhjYIzh/PnzCA+/fPLq6+uxYcMGtGjRwiODDHSMrMxaXFaNSSv34tEBqVi8tdDwtzSj3wAdLU+JTS2Yuc6zDe30oseqVG9j2MZZTv7l0elIigmXvR6SYiO4xy3lAnA8/kUlFVi187hk9VpAf8FAPcLXlYY2FXmyrjAeHLP81MRmON63mXnFWJZVJHlPPDogFev2WWWPk1i2odj1ZjIBTGHeHdM9WfQeEXvWnK2owaz1nrOU6gnU57FYJcVYMHlwR66x8FhOldLq9YzXUxWgCfWYGFO6jRoICQlxqkzstiKTCa+++ipeeuklwwbnCcrLyxEbG4uysjLExMT4ejiiCNlQUg9K4QaaMSrNYw8tI1xHWnsCrRrfzyf+ailBKVz1cm+iG3OteOGrA9xxNTyxMUrXgesYXcenpycTcPk8rM05iSmf5nD95n2DygRobbsghXDPbHt+MAConojrbQzzN+djeVYhzlVdPseO90S9jWHH0VJM+mSP0zJS41DqiZTeOga5J8sl1+N6vsVc2FLb4LmmvYVwrgFx4bjovl7c4im7oBT3LNnBtV2tx4BnvL4+psGKmvmb23KzZcsWMMYwePBgrF692qmPVFhYGNq3b49WrVppHzVhhzdjKT4qDNueH+yRwFy9adN6Jidf+Kv1FCST6hclx6z1B/HhtkJZsehoRZM7jmKi0whxIJwHT7gO5NDTdkEK10BPKfEsJRBcRaJYo8vQEBNCTCZJYeM4jh0FpbL7aAKQd0pc2AgI1yPQEOy9PKvIadtJMRZUX7T5taUUaHjWLBjb61JMlXsxSABuIl/qRUtt1pmWY+DN7CxCO9ziZuDAgQCAwsJCtGvXTtaKQ+hDTdCa0V17HRFbN092jd7JyRf+aq0p8EJ6tBZ4iiJKPUibRYXhZomS/EaJA+E8GO06UEJL36xhaS3xv7zfFZeTu7fELF1Sab9lVXWYu+kIrkyKdjp3vPdu9tESxetNzqYuXI/zN+dj+fZC0THKuR8d1+HrzJ6NuVbMWp/nJGwSosyYMaoLAIi+OEjdO2qfHVqPgVE1swjPoTpbavPmzWjatCn+7//+z+nzL774ApWVlXjggQcMG1xjxV+D1nhdVVqbOvrSX601C2Jn4RnNMSG8b45qH6Raj78jjrEzPHFYM8dcbciDvd7GkMUZtyRsPyk2HA9cl8IlbqTuGbXp+1Lnjv+eNGYSnHMpo0sPvrKU7iw8g015xaLNTc9W1GHiyr2SRUiF8/TC6gOIDjej3xXNEBpi0lz4Ucsx8OSLJaEf1dlSb775JhIT3ZsntmjRAn/7298MGVRjx9MZS1pQk+Wk5UHhqXRVAaUMqESFImtSy+mdGBzfHOUQHqQ392iN/h2aGZZeK4VrwKrerBgehOzA+VsKVP3uldFp6HdFM833jFZLl9i54713/WlS5L32jcIxC1Sqa7twLmolOpwLnKuqw70fXs5EE4Q4oE4+UnZT8KHacnPs2DGkpqa6fd6+fXscP37ckEE1ZoQ3mpHpSaI3vqdFgNSY1MSjaHlQeNJfzWVx4p3ZXJYz6qFo5NuzEWNat8+K50Z0cRM4njLFa4kRSoqxYOaYq+3nUGuWn15Ll+O54802FMSYXgubEWTl/4EQk8krbhWjA8UFXN1Ui+7rxRXgT9lNwYtqcdOiRQvs378fKSkpTp/v27cPzZr5z9tIICI2CYeYnDse+yJoTW08Cm+6pFAwzZP+armUeseHYUmFfHyCQPbREqcx901NQFJMuO50ZSPfnvX2ZAKk4xAc+5vtLDyDb/ef0n3+tFhOpg3pjMmDO4pal9QGeuoVlolRzueOdxxKfYq8xcLvj2Lh90c9UkjTqRRElEWyfYdeXF+yAOWK4L54UQSCozp7IKBa3Nx999148sknER0djQEDBgAAfvjhB0yZMgV333234QNsLEhNwkJQoSeaIPKiNh6F9+01o5O7e9NI1FiceK0dji4TYTKYOcaAScrAJ75RPZmkzrvRFabVWE6E7uNqyvAr3TO6LV0iq+YZx4j0ZIzLSJF0zXgbngB3NegtRaAWeyba0VKuopNxkWa8cYsxTTV5Cebq7P6G6pib119/Hddeey3+9Kc/ISIiAhERERg2bBgGDx5MMTca4ZmE/5NbbIiw0VJ9V0uAszdiNJRQY3FSipUQQ5gMgIb6LnEijTEjw0K51sVrOeJF6vgnx4bjjl5tuNYhdt49UWGaVzw3tYTiTEUdlmYV2at1i21PTXwSoBwno8R/fykWvZccx9E3NQE7C8+43XdDLlkZtJAQFWZQWHIDwuhf/SZPdwVjqevEG2QXlHJt92xlHWatP+i1quiBUJ09mFBtuQkLC8Nnn32GWbNmYd++fYiIiEDXrl3Rvn17T4yvUeCtTtxa3xq0VuX0dbqk2pR6tdYOR+vPtucHY2haEnYcLUV2QSkAhv5XJAIm4N4Pf1JclycCGqWOPwBkFZSoPp96agHJwbvvF2rqnf42ytKg19L1UfYxfJR9zK2g3+XK0JVY+dMx/H7+soAV4oUGX9USCVFhTmnQvNzeqzU+/NG9SrlAXKQZd/Vpg8VbCwHO/RJ71qh1o3iiTpE6+LdstLVKCk/dO4Q0mruCd+7cGZ07dzZyLI0G14cFb7yGntiADftPYeLKvW6f89zceloy+DJdUq3FSUsHatfJIKNjQ18ogXob82m5dqnjr+V8ekqEa40RMnJSkDr3rjFvcgj3ElcrhvIaTPh4D2IjmqCs6qKmMX+734oFY3u5VSmPizTjoetS7TFJPdvFq3YPCc8aLS9ERpQi0IJwL/W/IpE7485bwsJbL7DEZTSJm99++w3r1q3D8ePHUVvr/Mbx3nvvqVrXwoUL8c4778BqteLqq6/G3LlzccMNN0guv2DBAsyfPx9FRUVo164dXnrpJfzlL3/Rshs+YcP+U27djROi3N0ZYmh9u9+w34pJq9yFDaCu1kqgVeXUYnFytXYc+f0C5m/JV9yWlPD0RbdmHrScT091RNZjOTFyUhDvy1SLSSvdS+1LjQUAPrhkKeFBq7AB+KuUO+5XVn4J1/XcIjqcOxjfFV92xH5ldBr6dWimSix7Q1hQN3Hvo1rcfPfddxgzZgxSU1Nx6NAhpKeno6ioCIwx9OrVS9W6PvvsM0ydOhULFy5ERkYGPvjgA9x0003Iy8tDu3bt3JZftGgRpk+fjiVLluCaa67Bzp07MX78eMTHx2P06NFqd8XrzN6QJ/rgU+p2rOftfmOuFRNXyge78t7cvnYzqUWrsHC0dmQXlHJPBlL4qzBUez49WVxS6hjFRZhl2xkIGDUpiFm6FoWos+Z5E94q5cIyfVMTsHrPb4qCv3f7eAx8Z4smN4qW88/TLFSJqQ7tP7SIZU8KC38tzBrMqBY306dPx9NPP43XXnsN0dHRWL16NVq0aIF7770XI0aMULWu9957D+PGjcMjjzwCAJg7dy7++9//YtGiRZg9e7bb8v/+97/x2GOP4a677gIAXHHFFdixYwfeeustvxc3G/Zbud7ojHy7V9sagOfmDrSqnHqFhVFdgP1VGKo5n57uiCx2jC7W23D/sp2Kv3VMxzY61dZxXP/JteKj7GOa12U0aidDHsE/Y1Qa/p1dpNmNwnOdtIyx4O939kDJhYayCv/9xYoV2/Ud15TESPv/a3Exl5yvwdqck7quGalrj7qJex/V4ubgwYNYtWpVw4+bNEFVVRWaNm2K1157DTfffDMef/xxrvXU1tZi9+7deOGFF5w+HzZsGLZv3y76m5qaGoSHO9/MERER2LlzJ+rq6mA2u7t3ampqUFNzOZCvvFy+GZ0nqLcx/HVtLtey8S7BhXre7tW2BlDzoAykWg16hIWRbqVAE4aueMPF5nqMsvJL+H54aZOeSrV1HJe/iJsQE3BWQ5adnOAf0z3ZLYZHDrEXIt52HY6xaQB0ixvX55dw3+8oKMWkldKd2oGGYzlr/UH731quGaVrzx/d08GManETFRVlFwutWrVCQUEBrr76agBASQnng+jSsvX19WjZsqXT5y1btkRxcbHob4YPH44PP/wQt9xyC3r16oXdu3dj2bJlqKurQ0lJCZKT3S/E2bNn49VXX+UelyfYWXiGOxtixqguSIqNMEQ0qDGzxkWYud8aArFWgx5h4a9uJV/g7WNRcoFv8i65UKM5RkSNUDeiQKJR2BgwceVevB9iUn3cxeOLajBp5V5V+yX2QlRvY4iNCMNDGSn4OucU18uacFyN7kkXGmJCRqdEvHl7V3vZBrH9cw0aV5tFxZuwQc8R76Fa3PTr1w9ZWVlIS0vDqFGj8PTTT+PAgQP46quv0K9fP9UDcO0uzhiT7Dg+Y8YMFBcXo1+/fmCMoWXLlnjwwQfx9ttvIzRUvJ7I9OnT8dRTT9n/Li8vR9u2bVWPUw9qREZSbIRhb/dFJZXcyz6UkcIlorROIIGOv7qVfIE3jwWvNTGxqQXPfLFPdYwIj1B3FT8zRqXZg4wd0VMwUQ8vfHVAU6aPo+CvtzFc/9Zm7vFLCQqx4ykUXhwiU4RUsPaoLYbJa/VQmw2nJotqw34rJnMmbNBzxHuoFjfvvfceLly4AACYOXMmLly4gM8++wwdO3bEnDlzuNeTmJiI0NBQNyvN6dOn3aw5AhEREVi2bBk++OAD/P7770hOTsbixYsRHR0t2swTACwWCywW7zaGc4X3AZ0QxW89UWJjrhVzOTsGx0U0weTBnRSXa+y1GgLdrWQk3joWvLEKYFAdI8Ij1AG4BzlHmhERForKWue6O3GRZtypsq6MEZyrrMOOglJdFb/VpG9LCQqp43m2og7LsopwDcckHhdpdmubEBdpxpu3dQXgfi7UWD1chUXJ+RonV5QrPIkWWhI26DniHVSJm/r6epw4cQLdunUDAERGRmLhwoWaNhwWFobevXsjMzMTt956q/3zzMxM3HzzzbK/NZvNaNOmocrqp59+ij//+c8ICVFdbNlr8JpcX7853RBRoLaI1pu3d+Pa7g6Fyp9Uq6Fx44k4LN44H94Kz8VlVfaxygl1AHjmi31uhQMB6Z5FZyvr0LNdPBbd515XxtNWneyjJbrEjTrrsrug0PviI9dQs+zS8TbC6uEoLNbmnOT6jdSxEfaZF0rz9i6qxE1oaCiGDx+OgwcPIj4+XvfGn3rqKdx///3o06cP+vfvj8WLF+P48eOYMGECgAaX0smTJ/HRRx8BAA4fPoydO3fi2muvxdmzZ/Hee+8hNzcX//rXv3SPxZM4PqClHnCPDUjFyG6tDNke71tYlCUUf/+/7lxvPRtzrXhh9QGu7dNN3PjwZBwWT6xCQ1VoZWatP4iIsFDERoQp3iNiwkYO12rVjpNw7/bxWLjlCJZsK0SFw3qTY8Nx9zXt0C4hArPWH8TZilqNIkifiOS1Ls8Y1QUPZqQaWuCR52XMURgZ9eKkNz1bbbFCSvP2LqrdUl27dsXRo0eRmpqqe+N33XUXSktL8dprr8FqtSI9PR0bNmywt3KwWq04fvy4ffn6+nr8/e9/x6FDh2A2mzFo0CBs377drUO5PyL1gG4WFYZZN6djZDfj4lR4xcXrt3TlFjZywswVuokbF96Iw1J6a+cN9D1bUYvHP96DhzJSdI1HDNcJ3HES3phrxWe7fnMSNglRYZgxKs1+70eEhWpuwHptagKyC0o1WzR43X9iwgbQV6TOiOq9WqyGPBb1ZJn0bDUvcXLrITyDanHzxhtv4JlnnsGsWbPQu3dvREVFOX0fExOjan0TJ07ExIkTRb9bsWKF099dunTB3r3igVuBgLeCyXjFRVKM8nJqXFxUq6Hx4c04LLm3dkfrqBzCmNbmnNI1FjlcJz3pWJSG6seLQi6LP7GYEyWiLKF45osc/H7eISvpUu8qXlGpN81fjxVEb/VerVbD0BATxnRPlq0/NqZ7su59BijN2xeoDlQZMWIE9u3bhzFjxqBNmzaIj49HfHw84uLiDHFVBTtqOxZrQanLsQn8bxJqTa90Ezcu1Lx1exrBOqrUzoQBKK2oRUKU2dCu2gKOkx5PbM+r3+Rhw/5TePzjPaqFDQBU1NQ7CRvgcu8qNZ2mpTrJJ8WGK1rf9Dxz9AgjPZ22620Mn+36TXabn+/6TbJDOk83+RATsHBsz6DMIPV3VFtutmzZ4olxEAZiZLE13requAgz3rydz81FBA/+1jNnRHoyqupsmPZZjuKyt/ZojWVZRYYF+4pZLnnF31/X5nok4FhtmrhW67KeZ47W6r16rYY7jpYqismzlXXYcbTUreAgwNcTbf49vQwNOSD4UW25SU1NxYABAzBw4ECnfwMGDDAkDocwBj1vYY7wvlUtuDc469s0VuptDNkFpVibcxLZBaWSb6/+2DOHx90KAEPSkkTvES1ITeC8ok6pv5xWhDRxNWi1Lmt95ggiAXAPi5YTRnqthrxB6HLLSe1zcmw43r+PhI0vUW25SU1NhdVqRYsWLZw+P3PmDFJTU1Ffry7DgLiMJ3vieDrQsN8VlPodLKiJYfDHnjlqxhQaYrLfI8VlVVwZS7ERTWAymZze+qXqrfhDcL3eNHE1aH3mqK3eW29jyMr/g2tMUgKz4I/zXL9XsutRYT7/RLW4kaogfOHCBbe+TwQ/3uiJo/X31BOl8aA288kfrw+1Y3K8RyLCQmXdDNOGdMbkwR0BgGsy4xFaCVFhKOVsz6IN796bWp85vCJB7Fkph1SLiB1H+eLA+l+hLAypMJ//YWKMr9G80MJg3rx5GD9+PCIjL3dgra+vx08//YTQ0FBkZWV5ZqQGUV5ejtjYWJSVlanO7PIUUhOKcEs7Tii+algZiP2kCHUIJfilJg3B4rHt+cFcE46vrw+tYzJ6X4T7GxAXWgvG9sKs9Xke61f1ySPXisaMBCJqylLIXa9ZR0pw79KfFNfR1BKKfa8Md/p9IDUNDjbUzN/clhshBZsxhgMHDiAsLMz+XVhYGLp3745nnnlG45AbL2qC4jLzin02gZDpNfjRU2/EH68PPS4SPfviOvkNTUvCgrE98de1uU6xNY4ul5AQyFqMtBIfaQ4al7HashSAuNVQTUHSu/q0Vd2LjPAPuMWNkCX10EMPYd68eX5j9Qh0eCeU+ZuPYO6mI4YXSlPzFkKm1+BGb+aTP14fWsek9Xdik19cZENqumOMjlDAT7hnpWJO9DL7tq6S93OgWSDUlKWQitVRW5B0SFqS4m+DvWlwoKI65mb58uWeGEejhXdCWZ5VZHihNHoLIRzxx8ynQEJq8hNLNz4jUsDP1WJUVFKBVTuPo7hcum+WYOlxLf6ndB8H4r3P+6ycPKgjpg3t7PYs1FOQtLE3DQ5EVIsbwlh4J4pzVdKpooJ1Z8fRUoSYTFxvYvQWQrjij5lPnsJoq4XaZrVAw3073aUOjavFaPLgTg5ip/KS2HHPJlLjRvPkva/3uMr9nvdZKZW+rqcgqREtIgjvQuLGx/BMKLGcJdknfbLHSQRJvYnRWwghhj9mPnkCT1gt1E6cAmcr6zB/8xFMGdJZ9Ht3sdPRbfIXts8jKOptDDPX/cJ17/Os11GMiFma1BxXpfPC2z/s6c9zRFtP6ClIakSxykBzAwY63NlSwYI/Z0sB4hPK1CGdMWfTYdXrFcu2AhqKUt2zZIfi71eN70dvIY0Qb7gsPPmGL4eazEQ12/52/ylM+TSHe/yOxEWYsXvGUE0TndpzNW/TEa5nybQhnfHpz8dl18uTku14XOWsS7znRepZKfcbAd7n3r8f7osmoSFO49xZeEbXMzMQ3YD+iJr5m8SNnyB38Q9NS8L1b23WlCoqlg65Nuck14N43t09cHOP1iq3SAQDnnzL1Pug1/p7PanuStu++5q2mLPpiOLYpdDyIqEUHLtwbE+M7NbKaXmtXccBZ9EAQFVKdmykGeFNQp1caq7PN97zsjHXipnr8pzWpfQb4PL5l7OSx0WaYWkS4mZ9mjGqC2atP6jospUqk6BXUBMNqJm/VbdfIDzDiPRkbHt+MFaN74d5d/fAqvH9sO35wRiRnixbnlwJsRLkiVEWrt9S4GjjxVMNXvU0OtT7e73l+uW2PWfTEcRFam/EuSmvmHvZhuq8JXhh9QFZcTF51V5s2G9tWP5ICXf6sxTCtmau+wUz1/HHFzE0BFW7ihHhnM3ffETVeRmRnoy//193xW2Kncu7r2knKU4YGtyErgHcxWXVmLRyL8Z0T7Yv6/pbQNxly9s4Vaq9CaEdirnxI+TST6VSRV2zJKQQfMHCW48cYoGjSm/y5E8ODjx5HvXGevFMFC+sPoDo8IbaLo5v7DsLz+A/nB2yxeImeMYuoKVWzdKsIlyTmqD4Bq+mOq+NARNX7uF+RvDAANnsLbXrMqEhE5QHx/NSUsE3BuE3G/afcqsz5EhSbDiq6upFj5MwznX7rPaCi2ItIoamJSG7oNTNnUWByL6BxE0AIVZczGZjXJU2W0SHc9V4EHsLUXIDkD85OPD0edT7oOcJ2j1XVYd7P/zJPm4AqmvHiFksecZ+rrJONFaFV+woBfGrrdEiYJSw8QQM8pmgjjieFzVlC2ZvyMMHWwsll5k2pBP6tE+QfY4K12Z8VBi2PT/Y7QUgM6/YzbWWHBuOm9KTJNfpCG/AMsEPiZsAw9W6U29jXOm7vdvHY+A7WxQfjC1jLE6ZBkppo48OSMXirYWUUh7geKM0gN6MEzUTQHFZter4ErlUd95tpyRGuk1+ZytqMHHlXsXfygk7LanmWrijV2t8ueekh7fiTlyEGWVVddwlCHgyp0JMwHd5v+PDLGlhAwCf/nwC7ZpFcY3z9Plq+zNYsAi+sT4Py0SsT8Vl1aKfi0EhAMZDMTcBjlw8jqMVZvexs1xvr3+/s4dTHyslN8CSH92FjeP35E/2f7wVF6C3SKCaCUBL4D0gnequZuyu8Uoju7XCwxkpXL+XElFaU83VkBwbjr/d1g3JseGSsUMmAEkxFiTFSC+jhYcyUu3rd90e4H5eHJ97UtgYFIUN0CAqz1zgc3MJ18HGXCuuf2sz7lmyQ1LACO4sOa+uCQ3HPRhqR/kbJG6CACEeJynW+QGcFBtuf+PmffMscbjJeUzxcvOdUoAm4R/oDbTlRXjblps45R70vdvHy04UenC8V8TQO/ahaXzuCSkR5Um3henSv1dGpyGsSYjiy9LMMVdj5hi+BIekGItsoLVw3CYP7qj4DHNlRHoyFoztacg1kRAVxn1+pQLLxXB8RqoJRCb0Q26pIEGp2Z+aN0+1AZhKkD/ZvzGiQBkvd1/TTrTOCs+Dfvexs7JiWgt/6d8eN10qECc3wegtcKil+rNjcHfJeWOCeMVw7cMklbzgupzYMg1p8e2QkhjpFI/Cc9y0NCyNj7IYck0kxUZwnV8AmtyD4zJSsP6A1SkY2zUEgDAWEjdBhFy2Fe/D9WxFjWzNCS2QP9m/8UZPKaUsH6lGhwIN6c9/aN6+FDelJ3NnqfBO+mKoFUdix0tLFpYccRFmLLi3l1NmmQCP0OAVI2qOm9wzTCyTzwjBnRBlto9baZzZBaWano0xEWGQtt2ogzJT+aAifo0IpUrIUsHBUpgAmEzSrimeomiE7+EpbqbnPCpl+Uwb0gmTB3dSVThPL3r2Sc/kwpORpjUrihdfFY/zxHHTWzwRcC92KDdO3gKoAkIBw7JK92BpLeehsWemUoViGRqzuAGkb44Zo9Lc6jfI4SqIAHHBRNlSgYGS8NV6HvVWBdY60StZOUzw3bUpN3kqHS8xQmReMMS+D7TJUK7Cr9ARXUw88PDYgFRMHykfmOzqHpy1/iDXuh3HJ5WOr0ZkU6VjdfM3uaUaGVKmZLXZGI6m2p7t4jWZ6gn/QY/LRQ49tW30pD/HRZpxVqa+y6MDUn12bcq5XtTch3ERZkwa1BFvbJCfbG0MmDGqCxKjLdwWE39xfegpnuj4ArZun9XpuMaEN8Htvdrgxitbot7GVFkNlcSkQBKHZYm3iB81O1YPiZtGiNjDldd3LRaAqSUQkPA/PHEe9QQrqxXcd/RqjRs6N0diUwue/jxHdtl1+6x4bkQXv7tG1cSQnKuqQ1lVLdeyidEW7j5xYhN6Ukw47unrHCjsjWOnp3iiozB/bkQX7Cw8g8y8YnydcwpnKmqxfHsRlm8vkrRkSVlKlITNuIwUDElLsjdU5UHpvPO+JKzIKlQlYoMZEjcEAP5gUakATLm3USJwMPo86glWVhssekPn5ri5R2tkF5Qqtgjw15L36oO2+SYv3vVKFnMsr3bKcvOWa0tP8UTHyT00xISyqloszyriKlRZe9GGF9fkyloNedx9RgXr8x4HR5dZoLkfjYbEDQFAW6oqQSih57pSO9ELyxud2u5NF41wvHgtVv07NMPqPb+pPr5i+wTwpzkbVbla6dhqKZ4otR1et05mXjFeXHNAsg+VAI+7z6jnqpZMxcZeJZ7EDQFAfx0PghBDz3XFU2JfwLGAnpGp7d7OTnE8XkoB0Umx4eh3RTPVx1c686gdt6gyIs6D59gaJQ543TrPf7kfX+75jXsflNx9Rj1X1dwLAo09FocqFDcS6m0M2QWlWJtzEtkFpaKl9HkqHROEWrReVzwl9oHL1XWFhzdvNeHe7eNl7wmpSrTCG/FGg4pcuiIcr7hIs+T4Aefid7zHV26fxIoryqGncjXvseVtL6M0cfNa6dQIG4BPIBvxXJU7DnI05irxlAoehLiaes9W1Lqlecu9ffpLpgQRXGi9ruTq3CgFgwL8GTSO69Kbwm4E9TaG+ZuPYHlWkVPnbKl9Vjq+WtLMeZh3dw/uYGWecYgdW70WtOyCUtyzZAf3GJXQcv6NeK5qrfkkdo4C8TlPdW5kCHZxw3vxu9ZGCMQLnWg8CNdncXlDk8OEqDAkxUbIXqdSE+KY7smixSod74nYiDCuyXDV+H4eD0o26t40eoIXkDsGYmPfWXhG07HVehzqbQw7CkoxaeUeJ5GoB3+pk8Rbd8f1WAZqMUCqc9NIUVPwzNEfa7MxzFp/MOAudKLxoCWLSyy1vXf7eAx8Z4tiYOlzI67i2oY3+qYZlcGmZqw8rR6U4l2kJtCR6XxNRF3Hq+U4eKK6dbOoMLxxa7pf1EmqtzF8uK1QVUySZEZckAUgU8xNkKCl4Jngj524cq/X4wqIxgVPzJcnECaCm3u0Rv8OzbD72FmuwNIzF/gaVQZS3zTesU4b0sktPsQVpXgXuZiapVlFXOPQe2zVdO/mJSHKjOzpf/KbyV9tTJJS1hjQIO69dX96ErLcBAlqC54p0dgj7Qn9COZzx8JpAr6yDPJaLxKiwriydISg5EBw5/JmHk0e3NDrS7B4FZVUYNXO4061g+QqV/NMoKZLpiFPlZ3gedmLizDjT11aYPWek1zrNAH4261dEdbEv2wCaqqL66kYHmiQuAkSPGEeD6YLnfAuSu4AX5nAea0BSbERiim8Y7onY+A7WwLGnas2LdnxnncUO0oijudFSyrS06iyEzxjOFdVhy2H+DrN+/N5BfirixtdA8qfIXETJHjSPB4MFzrhPXhiv3xlGVRTNyU0xCT5RiwVlOzvcQtae4ipiXfR87wwqiddcTnfGBytiVLc0as13rqju99a5AR4zpGRNaD8HRI3QYLaIk88AYMCwXChE95BTeyXLyyDaq0XeoKS/dWd6+lecGqfFwlRZsz489VIijFuHLwxUzzc0Lm5X55HLTSmSvT+5TwkNKO2yFNSbDgWju3FVewsGC50wjtoif3ytmVQqaja0LQkp+BnAJqCknccLfXkbmjG02UflIoounKmog5JMeHo36GZYeNIiAozZD1AcL3c8QQgzxiVhp2FZ7we/G80ZLkJIqRMzsmx4ZgxqgvioyxuD7SQEFDLBcIwtAgVX0weUtaLzLxitwJzrvEWvPs46ZM9ePP2rn7lnvJGfRNH6xgvRgvcpNgI3esIJiuGI3KuyTHdk1UVfPVnfF7Eb+HChXjnnXdgtVpx9dVXY+7cubjhhhskl//kk0/w9ttv48iRI4iNjcWIESPw7rvvolkzPrN2sBfxA9S/mQVqQSfC/1BTKM4bVX7VIBUr5FrwUu0++kv8De/+Gbk9ngaUgPHFEPVWY/bUMQH8pzKweyX7Gkxauddr14cWAqZC8WeffYb7778fCxcuREZGBj744AN8+OGHyMvLQ7t27dyW37ZtGwYOHIg5c+Zg9OjROHnyJCZMmIBOnTphzZo1XNtsDOJGC/5ywxGBjTCpKMV++dMDE1DXEgAA1z66/s6XE1hxWRVmrT8oGUDrqXHWXrSh3+zvvL5dQF1RU1c89XLnry+S/tBuhAc187dPY27ee+89jBs3Do888gi6dOmCuXPnom3btli0aJHo8jt27EBKSgqefPJJpKam4vrrr8djjz2GXbt2SW6jpqYG5eXlTv8Id1yLnZGwIbTAG/vlb81Y1dT/4G3o6fo7XrQWPHT93Yb9p3D9W5txz5IdmPb5PtnMIE81WAxrEoK/3ZoOE/Q1vtSC4H5JVihI6MjEG6/AqvH9sO35wR4RNmJFBa1l1Zjg44Kpaq7/QMFnMTe1tbXYvXs3XnjhBafPhw0bhu3bt4v+5rrrrsNLL72EDRs24KabbsLp06fx5ZdfYtSoUZLbmT17Nl599VVDx04QhDRSPv2EKDNu7dEaQ9KS/M4yqLb+h7CPL6w+wNWviHf9Wt/sjWoz4Ingbq3p50Zte2haEpZtK8QbG5R7MGV0bG64e0zoiTbr219krUgvfHXAZxl2wVj/xmfipqSkBPX19WjZsqXT5y1btkRxcbHob6677jp88sknuOuuu1BdXY2LFy9izJgx+Oc//ym5nenTp+Opp56y/11eXo62bdsasxMEQYji6XRjo9FS/2NEejKiLWbcu/QnQ9avteePHveLK4lNLR6puOzL6yE0xIQWMRauZUsMTCFXKzjPVdZh/uZ8TBnSybAx8BKM9W98ni1lMjlf3Iwxt88E8vLy8OSTT+Lll1/G8OHDYbVa8eyzz2LChAlYunSp6G8sFgssFr4LmyAI4zCq4aM30Fr/o1+HZobUDVFqWSBVO0dLTzkxTADiIs14+vMcpzYLRsaD+PJ68PbkrVVwLt9eiMmDO3r9JSAY69/4LOYmMTERoaGhblaa06dPu1lzBGbPno2MjAw8++yz6NatG4YPH46FCxdi2bJlsFqpwSNBEOoRXAcj05MkH+yAeGyI2saFUmiNeTCqpxwDcLayzknYAMHTQFep9o6RNb30CM5zlXU+iWsx6jr2J3wmbsLCwtC7d29kZmY6fZ6ZmYnrrrtO9DeVlZUICXEecmhoKIAGiw9BEIQaNuZa7UG3Qrdq1+e3UvCzUlFAHquH1pgHo2IgJIzlftcpWmuwtTcnb72C01dxLUZcx/6ET91STz31FO6//3706dMH/fv3x+LFi3H8+HFMmDABQEO8zMmTJ/HRRx8BAEaPHo3x48dj0aJFdrfU1KlT0bdvX7Rq1cqXu0IQRIAh5ToQ3pMezkjBUM7gZ70xJVrdJka5UeTeDf2lga7eNGpvBTbrFSe+jGsJtFg5OXwqbu666y6Ulpbitddeg9VqRXp6OjZs2ID27dsDAKxWK44fP25f/sEHH8T58+cxf/58PP3004iLi8PgwYPx1ltv+WoXCIIIQHhiXP6TW4yXRvG/zeuJKdEa86C2p5wevGFRkKq3pTXY2hVvTN5axQlPXIs36pEFUqycHD6vUOxtqIgfQRC8VYaNrpwrhzCBA+KtUJSypVx/ZzSePhZSlpkZo7pg1vqDfl9gToC3kKUjPEUt/bUAoDcJmCJ+BEEQvsAf63pojXmQ+l3ypea4n4y7FnERZsntmuAeZ+T6vacb6EoVuCsuq8bElXsDqsAcT3xPXKTz+VA6x3LHJxgCvj2Bz1PBCYIgvI2/1vXQ6jZR+t2bt3eVTE1mAIZ0aYFNeaftfwt4I1NGyUXIiz8VmFOK71FzjrWWCWjskLghCKLR4c91PbTGPMj9bkR6Mh4dkIoPthaKfr8p7zQeHZCKdfusXq8ibFQ6u78VmFMSnLznWE2ZgGCIlTEKEjcEQTQ6BNfB4x/vgQnet1Z4m3obw7p98q6Ldfus+OHZQdh97KxXM2X0Wlz8ucCcEcG5/uhCDQQo5oYgiEZJsNX1kIP37X/3sbNeb6CrxuIiFsPCANx9TVt8u/+Uqto3gYK/ulD9HbLcEATRaAmmuh5y+PPbP6+LcMaoNMxa7xzDEnspMHfOpiP2z4Itg8ifXaj+DIkbgiAaNcFS10MOf37753URjkhPxvD0y0K0qKQSczcdVlX7xht1YoymsblQjYLq3BAEQQQ5SrVX/KFWjJo6LsL+qKl9E+h1YgJ9/EagZv4mcUMQBNEI0Fok0JvwWlbUFmGUqnAst+/+aOXxxzF5EzXzN7mlCIIgGgF6eit5a1LldRHyxgZl5Zegd/t41XVitFpJPH2cGoML1SjIckMQBNGIUDsB+6M7hNdyAwAJUWacqahTXE6PlQfwz+MUbFD7BYIgiACj3saQXVCKtTknPZrSLLz986R7+2vZfyGDiMcmwiNsgAZrEE+15Fe/yXM7N/56nBoz5JYiCIKAb+MZ/PGt35/L/stlEGmlRXS4pmrAvMcp2mJGSUVNo4yV8QUkbgiCaPT4UlxIuUHkUpq9gb+X/ZeKIVKLY52Yb/ef4vqNY8wP73G6d+lP9s98LVwbA+SWIgiiUeNLl4JWN4g38OfCfwIj0pOx7fnBmDyog6bfu9aJ0VIPSMv+k7vK85C4IQii0aJFXBgZG6PGOuJteCf6xKYWD49EntAQEzI6NudaNiEqzOlv11YbZytqFdeR7FINWEvhQ18L18YAuaUIgmi0qHW9GO2+8mfriFLZf4GnP8/BzDFX+9TFwtuiQK4xaL2NYdb6PMVtzRjVxSlehvc4ueJrt16wQ5YbgiAaLWrEhSfcV4HQFgFwb1jpyO/lNT53sciN1dH1FNYkRDJTTEnoCsRHOVuqeI+TFNTN2zOQuCEIotHC7XqJsngkNkYppdkEdzeINxGCdlvGSB8nf3Gx6O3yrtWKVm9jiI0Iw0MZKYh3cXvxQN28PQO5pQiCaLTwujNggkcyhwKhKeKI9GREW8xO2T6u+IuLRU+Xdy1WNDE3ZUKUGbf2aI3BXVri6c9z8Ht5jce6eTf2dgxykLghCKLRwisuSi7UcK1Pi4tBT1sEb1FS4bn9Nxo1LQocxUFiUwuSYizcYkQqhf9sRR2WZRWhd/sE3NO3PeZsOiy6LkCfcOWJ/2rM4ofEDUEQHsefH7I84iK7oJRrXUd+P4/sglLV+6fH4uAN/Dk2SCti4iAu0mwvvCdnRePJspu0ag+kmhvpFa48tZEA+F1hSG9CvaUIgvAo/lh9Vww5AVZvY7j+rc3cGTH+uH96UNp/waqx7fnBfiPI5JDrH8XQIHLOVV5u2+B6PtX0tnJl2pBOmDy4k+bjJJwLKTepCQ3jP1vp3nbCnzrAa4F6SxEE4RcEUs8duZ5LajNi/HH/9MCbjRQIwoanXUKEORSfjLsW8+7ugVXj+2Hb84OdxIAe99unP5/Q/FuAr3yBmLARvgN8H/ztDUjcEAThEfy5+q4WhqYlYeqQzoiNMCsuG4j7p4TebCRvoVRkkbe2UUiISbK5qB73m96ijHrjmnxZGNKbUMwNQRAewd97E6lBzLUWZQlFRU295G8Caf94URMb5Is4Kx4XqBGFE7UW7uNZtxJGxTX5Q/C3JyFxQxCER/Dn6rtqkIrPkBM2jvj7/qmFJxvJF3FWvA1IjQiO1tuVXI9A0SusjBhDIEBuKYIgPEIwZNjIudZ48ef98wS+iLNS4wI1qnCilJtOiYQos67aNkrxT0JAsb8WhvQWJG4IgvAI/l59lwfekvxiBML+GY2v4qzUuECNDI4WupKvGt8Pc+7qgYQo5Xis129O1+2eU4p/evO2rgACP/hbD+SWIgjCIwRC9V0ltLqUAmX/jIZXZMzJPISMjs0Ni8NR6wLVWzjRNZ6od/t47D52Frf2aI2lWUWSv3tsQCpGdmvFNVYllOKf/L0wpKchcUMQhMcIhOq7cvC6lBKizDhTcTn9NlD2z2h4Rcb8LQWYv6XAsDgcLS5QrYUTxeKJQkyAozHK9e9mUWGYdXM6RnYz9nqQi3/y98KQnobEDUEQHiWQH7K8vad+eHYQdh8767P985cK0Grji1yDfbXCe55cXYRqWjUA0kHLrl42oTTuwxkpGJqW5LPzoXb/ggkSNwRBeJxAfcjyutbCmoT4bP/8qQK02kweoWjeq9/kYWhakmYB4A0XqJrgcmG//pNbjJdGNS7XpL9AAcUEQRAy+HPxOn+rAK22kjNgXFE5T58ntcHlwn49/XkO3v3vIWTllwRNQcdAgHpLEQRBcOAvrh/H8Sj1GPJVvycxa5IS8+7ugZt7tNa9bU+dp7U5JzHl0xxd64iLNOPN27o2ulgso1Azf5NbiiAIggN/c635cwVoxzirrPwSzN+Sr/gbo+oBeeo8GTG+c5V1mPDxHrzvR+0qghVySxEEQQQg/l4BWhAZ04Z2Dvh6R4By3SY1BFPPMVeUent5C7LcEARBBCCBUgE6GOodAfpbLjgSbD3HBPwpuN3nlpuFCxciNTUV4eHh6N27N3788UfJZR988EGYTCa3f1dffbUXR0wQBOF7AqkCtD8HZatB2I/4qDDd6wq2nmP+FtzuU8vNZ599hqlTp2LhwoXIyMjABx98gJtuugl5eXlo166d2/Lz5s3Dm2++af/74sWL6N69O/7v//7Pm8MmCILwOYFmEQnkekeOjEhPRlVtPaZ9vk/XenxtUTMSpbYbRqT7q8Wnlpv33nsP48aNwyOPPIIuXbpg7ty5aNu2LRYtWiS6fGxsLJKSkuz/du3ahbNnz+Khhx6S3EZNTQ3Ky8ud/hEEQQQDgWYREeJwbu7RGv07NAs4YSOQFBuh6/f+YlEzCjXB7d7CZ5ab2tpa7N69Gy+88ILT58OGDcP27du51rF06VIMGTIE7du3l1xm9uzZePXVV3WNlSAIwl8JFotIIKG2WKEr/mRRMwJ/DG73meWmpKQE9fX1aNmypdPnLVu2RHFxseLvrVYr/vOf/+CRRx6RXW769OkoKyuz/ztx4oSucRMEQfgbwWIRCRR4ihVGhrlPr/GR5qBMA/fH4HafZ0uZTM6XBmPM7TMxVqxYgbi4ONxyyy2yy1ksFlgsFj1DJAiCIAgnpJrCCtlBQ9OSsKOgFNlHSwA0iM9+VwSn8NTa28uT+EzcJCYmIjQ01M1Kc/r0aTdrjiuMMSxbtgz3338/wsL0R60TBEEQhFqUXIIZnRKR0SnRx6P0PP4Y3O4zt1RYWBh69+6NzMxMp88zMzNx3XXXyf72hx9+QH5+PsaNG+fJIRIEQRCELOQSbMDfgtt96pZ66qmncP/996NPnz7o378/Fi9ejOPHj2PChAkAGuJlTp48iY8++sjpd0uXLsW1116L9PR0XwybIAiCIFTjb/3JjMafgtt9Km7uuusulJaW4rXXXoPVakV6ejo2bNhgz36yWq04fvy402/KysqwevVqzJs3zxdDJgiCIIIMb4gOf6re60n8pQcbdQUnCIIgGi3eEB1C9V7XyVaQT/5Yk8gfUTN/+7z9AkEQBEH4Am+0DFCq3gsEdyNNX0HihiAIgmh0eEt0+GP13sYAiRuCIAii0eEt0eGP1XsbAyRuCIIgiEaHt0SHP1bvbQyQuCEIgiAaHd4SHUL1XqncKxOCr5GmP0DihiAIgmh0eEt0yPWh8lX13sYAiRuCIAg/pt7GkF1QirU5J5FdUEpZNQbhTdHhb9V7GwNU54YgCMJPaSyF37yJa8G+sxW1mLXeO8c42CsUexo18zeJG4IgCD+ECr8Zj5RYnDGqC+KjLCQ6/Bwq4kcQBBHAUOE345Er2Ddp5V6UVdU2+uaXwQSJG4IgCD+DCr8Ziy/EIsVK+RafNs4kCIIg3KHCb8aiRiwa0fSRYqV8D1luCIIg/Awq/GYs3hSL3uhXRShD4oYgCMLPoMJvxuItsUixUv4DiRuCIAg/gwq/GYu3xCLFSvkPJG4IgiD8ECr8ZhzeEosUK+U/UEAxQRCEnzIiPRlD05Ko8JsBCGLRNdA3ycBAX1/FSlFxQHdI3BAEQfgxoSEmQzJ4CM+LRcH9VVxWLRp3Y0KDmDIyVooys8QhtxRBEATRaBDEoicK9nk7Vooys6QhcUMQBEEQBuGtWCnKzJKH3FIEQRAEYSDeiJXydmHCQIPEDUEQBEEYjKdjpSgzSx5ySxEEQRBEgEFVrOUhcUMQBEEQAQZVsZaHxA1BEARBBBhUxVoeEjcEQRAEEYBQFWtpKKCYIAiCIAIUqmItDokbgiAIgghgqIq1O+SWIgiCIAgiqCBxQxAEQRBEUEHihiAIgiCIoILEDUEQBEEQQQWJG4IgCIIgggoSNwRBEARBBBUkbgiCIAiCCCpI3BAEQRAEEVSQuCEIgiAIIqggcUMQBEEQRFDhc3GzcOFCpKamIjw8HL1798aPP/4ou3xNTQ1eeukltG/fHhaLBR06dMCyZcu8NFqCIAiCIPwdn/aW+uyzzzB16lQsXLgQGRkZ+OCDD3DTTTchLy8P7dq1E/3NnXfeid9//x1Lly5Fx44dcfr0aVy8eNHLIycIgiAIz1BvY9QIUycmxhjz1cavvfZa9OrVC4sWLbJ/1qVLF9xyyy2YPXu22/IbN27E3XffjaNHjyIhIUHTNsvLyxEbG4uysjLExMRoHjtBEARBGM3GXCte/SYP1rJq+2fJseF4ZXQaRqQn+3BkvkfN/O0zt1RtbS12796NYcOGOX0+bNgwbN++XfQ369atQ58+ffD222+jdevW6Ny5M5555hlUVVVJbqempgbl5eVO/wiCIAjC39iYa8XjH+9xEjYAUFxWjcc/3oONuVYfjSzw8Jm4KSkpQX19PVq2bOn0ecuWLVFcXCz6m6NHj2Lbtm3Izc3FmjVrMHfuXHz55ZeYNGmS5HZmz56N2NhY+7+2bdsauh8EQRAEoZd6G8Or3+RBzJUifPbqN3mot/nM2RJQ+Dyg2GRy9iMyxtw+E7DZbDCZTPjkk0/Qt29fjBw5Eu+99x5WrFghab2ZPn06ysrK7P9OnDhh+D4QBEEQhB52Fp5xs9g4wgBYy6qxs/CM9wYVwPgsoDgxMRGhoaFuVprTp0+7WXMEkpOT0bp1a8TGxto/69KlCxhj+O2339CpUye331gsFlgsFmMHTxAEQRAGcvq8tLDRslxjx2eWm7CwMPTu3RuZmZlOn2dmZuK6664T/U1GRgZOnTqFCxcu2D87fPgwQkJC0KZNG4+OlyAIgiA8RYvocEOXa+z41C311FNP4cMPP8SyZctw8OBBTJs2DcePH8eECRMANLiU/vKXv9iXHzt2LJo1a4aHHnoIeXl52Lp1K5599lk8/PDDiIiI8NVuEARBEIQu+qYmIDk2HFIJ3yY0ZE31TdWWKdzY8Gmdm7vuugulpaV47bXXYLVakZ6ejg0bNqB9+/YAAKvViuPHj9uXb9q0KTIzM/HEE0+gT58+aNasGe688068/vrrvtoFgiAIgtBNaIgJr4xOw+Mf74EJcAosFgTPK6PTqN4NJz6tc+MLqM4NQRAE4a9QnRtp1MzfPrXcEARBEARxmRHpyRialkQVinVC4oYgCIIg/IjQEBP6d2jm62EEND6vc0MQBEEQBGEkJG4IgiAIgggqSNwQBEEQBBFUkLghCIIgCCKoIHFDEARBEERQQeKGIAiCIIiggsQNQRAEQRBBBYkbgiAIgiCCChI3BEEQBEEEFY2uQrHQSqu8vNzHIyEIgiAIghdh3uZpidnoxM358+cBAG3btvXxSAiCIAiCUMv58+cRGxsru0yj6wpus9lw6tQpREdHw2TS1oisvLwcbdu2xYkTJ6izuMHQsfUcdGw9Bx1bz0LH13ME0rFljOH8+fNo1aoVQkLko2oaneUmJCQEbdq0MWRdMTExfn8xBCp0bD0HHVvPQcfWs9Dx9RyBcmyVLDYCFFBMEARBEERQQeKGIAiCIIiggsSNBiwWC1555RVYLBZfDyXooGPrOejYeg46tp6Fjq/nCNZj2+gCigmCIAiCCG7IckMQBEEQRFBB4oYgCIIgiKCCxA1BEARBEEEFiRuCIAiCIIIKEjcAFi5ciNTUVISHh6N379748ccfZZf/4Ycf0Lt3b4SHh+OKK67A+++/77bM6tWrkZaWBovFgrS0NKxZs8ZTw/drjD62K1asgMlkcvtXXV3tyd3wW9QcX6vVirFjx+LKK69ESEgIpk6dKrocXbsNGH1s6dq9jJpj+9VXX2Ho0KFo3rw5YmJi0L9/f/z3v/91W46u2waMPrYBe92yRs6nn37KzGYzW7JkCcvLy2NTpkxhUVFR7NixY6LLHz16lEVGRrIpU6awvLw8tmTJEmY2m9mXX35pX2b79u0sNDSU/e1vf2MHDx5kf/vb31iTJk3Yjh07vLVbfoEnju3y5ctZTEwMs1qtTv8aI2qPb2FhIXvyySfZv/71L9ajRw82ZcoUt2Xo2m3AE8eWrt0G1B7bKVOmsLfeeovt3LmTHT58mE2fPp2ZzWa2Z88e+zJ03TbgiWMbqNdtoxc3ffv2ZRMmTHD67KqrrmIvvPCC6PLPPfccu+qqq5w+e+yxx1i/fv3sf995551sxIgRTssMHz6c3X333QaNOjDwxLFdvnw5i42NNXysgYja4+vIwIEDRSdgunYb8MSxpWu3AT3HViAtLY29+uqr9r/pum3AE8c2UK/bRu2Wqq2txe7duzFs2DCnz4cNG4bt27eL/iY7O9tt+eHDh2PXrl2oq6uTXUZqncGIp44tAFy4cAHt27dHmzZt8Oc//xl79+41fgf8HC3Hlwe6dj13bAG6do04tjabDefPn0dCQoL9M7puPXdsgcC8bhu1uCkpKUF9fT1atmzp9HnLli1RXFws+pvi4mLR5S9evIiSkhLZZaTWGYx46theddVVWLFiBdatW4dVq1YhPDwcGRkZOHLkiGd2xE/Rcnx5oGvXc8eWrl1jju3f//53VFRU4M4777R/Rtet545toF63ja4ruBgmk8npb8aY22dKy7t+rnadwYrRx7Zfv37o16+f/fuMjAz06tUL//znP/GPf/zDqGEHDJ64zujabcDo40DX7mW0HttVq1Zh5syZWLt2LVq0aGHIOoMNo49toF63jVrcJCYmIjQ01E3Vnj592k39CiQlJYku36RJEzRr1kx2Gal1BiOeOrauhISE4JprrvH7twij0XJ8eaBr13PH1pXGeO3qObafffYZxo0bhy+++AJDhgxx+o6uW88dW1cC5bpt1G6psLAw9O7dG5mZmU6fZ2Zm4rrrrhP9Tf/+/d2W/9///oc+ffrAbDbLLiO1zmDEU8fWFcYYcnJykJycbMzAAwQtx5cHunY9d2xdaYzXrtZju2rVKjz44INYuXIlRo0a5fY9XbeeO7auBMx164soZn9CSJ1bunQpy8vLY1OnTmVRUVGsqKiIMcbYCy+8wO6//3778kK68rRp01heXh5bunSpW7pyVlYWCw0NZW+++SY7ePAge/PNNxt1WqKRx3bmzJls48aNrKCggO3du5c99NBDrEmTJuynn37y+v75GrXHlzHG9u7dy/bu3ct69+7Nxo4dy/bu3ct++eUX+/d07TbgiWNL124Dao/typUrWZMmTdiCBQucUpHPnTtnX4au2wY8cWwD9bpt9OKGMcYWLFjA2rdvz8LCwlivXr3YDz/8YP/ugQceYAMHDnRa/vvvv2c9e/ZkYWFhLCUlhS1atMhtnV988QW78sormdlsZldddRVbvXq1p3fDLzH62E6dOpW1a9eOhYWFsebNm7Nhw4ax7du3e2NX/BK1xxeA27/27ds7LUPXbgNGH1u6di+j5tgOHDhQ9Ng+8MADTuuk67YBo49toF63JsYuRWwSBEEQBEEEAY065oYgCIIgiOCDxA1BEARBEEEFiRuCIAiCIIIKEjcEQRAEQQQVJG4IgiAIgggqSNwQBEEQBBFUkLghCIIgCCKoIHFDEARBEERQQeKGIIKIFStWIC4uzv73zJkz0aNHD5+Nh2joxfPoo48iISEBJpMJOTk5vh4SQQQ9JG4IgoMbb7wRU6dO9cq2vv/+e5hMJpw7d073up555hl89913XMvyCqEHH3wQt9xyi76BeQlXsecLNm7ciBUrVuDbb7+F1WpFenq6T8cjh5br/MyZM3jiiSdw5ZVXIjIyEu3atcOTTz6JsrIy0eVramrQo0cPEnqER2ni6wEQRLDAGEN9fT2aNPGf26pp06Zo2rSpr4cR8NTX18NkMiEkRP37YEFBAZKTk4O2Q/WpU6dw6tQpvPvuu0hLS8OxY8cwYcIEnDp1Cl9++aXb8s899xxatWqFffv2+WC0RKPBt62tCML/eeCBB9wayxUWFrItW7YwAGzjxo2sd+/ezGw2s82bN7P8/Hw2ZswY1qJFCxYVFcX69OnDMjMzndZZXV3Nnn32WdamTRsWFhbGOnbsyD788ENWWFio2CDQkeXLl7O2bduyiIgIdsstt7B3332XxcbG2r9/5ZVXWPfu3e1/b9myhV1zzTUsMjKSxcbGsuuuu44VFRWx5cuXu213+fLlbtt75ZVX3JbbsmULY4yx/fv3s0GDBrHw8HCWkJDAxo8fz86fPy97bHNzc9nIkSNZdHQ0a9q0Kbv++utZfn6+/ftly5axq666ilksFnbllVeyBQsW2L8TjtXq1avZjTfeyCIiIli3bt3sTf2E8+P475VXXmGMMVZTU8OeffZZ1qpVKxYZGcn69u1r3w/huMbGxrJvvvmGdenShYWGhrKjR4+K7sP333/PrrnmGhYWFsaSkpLY888/z+rq6hhj7teOa5NSR7Zt28YGDBjAIiIiWFxcHBs2bBg7c+YMY6zhenniiSdY8+bNmcViYRkZGWznzp1u43VkzZo1zPERL1wLH330EWvfvj2LiYlhd911FysvLxcdKwB29OhR1qFDB/bOO+84rfvAgQPMZDI5nStHPv/8cxYWFmY/DgIbNmxgV111Ffvll18YALZ3717J40EQeiBxQxAKnDt3jvXv35+NHz+eWa1WZrVa2cWLF+2TZ7du3dj//vc/lp+fz0pKSlhOTg57//332f79+9nhw4fZSy+9xMLDw9mxY8fs67zzzjtZ27Zt2VdffcUKCgrYpk2b2KeffsouXrzIVq9ezQCwQ4cOMavVys6dOyc6rh07djCTycRmz57NDh06xObNm8fi4uIkxU1dXR2LjY1lzzzzDMvPz2d5eXlsxYoV7NixY6yyspI9/fTT7Oqrr7bvY2Vlpds2z58/z+688042YsQI+3I1NTWsoqKCtWrVit12223swIED7LvvvmOpqamywuy3335jCQkJ7LbbbmM///wzO3ToEFu2bBn79ddfGWOMLV68mCUnJ7PVq1ezo0ePstWrV7OEhAS2YsUKxthlcXPVVVexb7/9lh06dIjdcccdrH379qyuro7V1NSwuXPnspiYGPtYBbE1duxYdt1117GtW7ey/Px89s477zCLxcIOHz7MGGsQC2azmV133XUsKyuL/frrr+zChQui+xAZGckmTpzIDh48yNasWcMSExPtIurcuXPstddeY23atGFWq5WdPn1a9Fjs3buXWSwW9vjjj7OcnByWm5vL/vnPf7I//viDMcbYk08+yVq1asU2bNjAfvnlF/bAAw+w+Ph4Vlpaah8vj7hp2rSp/Rxt3bqVJSUlsRdffNE+VrHr/I033mBpaWlO6542bRobMGCA5LldsmQJS0xMdPqsuLiYtW7dmv3888/2c0fihvAUJG4IgoOBAweyKVOmOH0miJuvv/5a8fdpaWnsn//8J2OMsUOHDjEAbtYc1/WePXtWdp333HMPGzFihNNnd911l6S4KS0tZQDY999/L7o+VyuPFA888AC7+eabnT5bvHgxi4+PdxIA69evZyEhIay4uFh0PdOnT2epqamstrZW9Pu2bduylStXOn02a9Ys1r9/f8bYZXHz4Ycf2r8XLAIHDx5kjIlP+vn5+cxkMrGTJ086ff6nP/2JTZ8+3f47ACwnJ0fiKDTw4osvsiuvvJLZbDb7ZwsWLGBNmzZl9fX1jDHG5syZI2uxYazhXGZkZIh+d+HCBWY2m9knn3xi/6y2tpa1atWKvf3225L7KSZuIiMj7ZYaxhh79tln2bXXXmv/W+w6P3XqFAsNDWU//fSTfdvNmze3i0xXSkpKWLt27dhLL71k/8xms7ERI0awWbNmMcYYiRvC41BAMUHopE+fPk5/V1RU4LnnnkNaWhri4uLQtGlT/Prrrzh+/DgAICcnB6GhoRg4cKCu7R48eBD9+/d3+sz1b0cSEhLw4IMPYvjw4Rg9ejTmzZsHq9WqawyOY+nevTuioqLsn2VkZMBms+HQoUOiv8nJycENN9wAs9ns9t0ff/yBEydOYNy4cfa4oaZNm+L1119HQUGB07LdunWz/39ycjIA4PTp05Jj3bNnDxhj6Ny5s9O6f/jhB6d1h4WFOa1bar/79+8Pk8nktN8XLlzAb7/9JvtbR3JycvCnP/1J9LuCggLU1dUhIyPD/pnZbEbfvn1x8OBB7m0AQEpKCqKjo+1/Jycnyx4rYZlRo0Zh2bJlAIBvv/0W1dXV+L//+z+3ZcvLyzFq1CikpaXhlVdesX/+z3/+E+Xl5Zg+fbqq8RKEVvwn8pEgAhTHCR0Ann32Wfz3v//Fu+++i44dOyIiIgJ33HEHamtrAQARERGGbJcxpvo3y5cvx5NPPomNGzfis88+w1//+ldkZmaiX79+usfiOME7IvW53HGw2WwAgCVLluDaa691+i40NNTpb0dxJGxL+L3UukNDQ7F79263dTkGX0dEREiOXUBsv4XzovRbR+SOhdT6HLcdEhLidj3U1dW5rctVSJpMJtljJfDII4/g/vvvx5w5c7B8+XLcddddiIyMdFrm/PnzGDFiBJo2bYo1a9Y4bWvz5s3YsWMHLBaL02/69OmDe++9F//6178Ux0AQaiDLDUFwEBYWhvr6eq5lf/zxRzz44IO49dZb0bVrVyQlJaGoqMj+fdeuXWGz2fDDDz9IbguA4vbS0tKwY8cOp89c/xajZ8+emD59OrZv34709HSsXLnSvl2efRRbLi0tDTk5OaioqLB/lpWVhZCQEHTu3Fl0Pd26dcOPP/4oOgm3bNkSrVu3xtGjR9GxY0enf6mpqYpjlBtrz549UV9fj9OnT7utOykpiXvdQMN+b9++3UlYbN++HdHR0WjdujX3erp16yaZst+xY0eEhYVh27Zt9s/q6uqwa9cudOnSBQDQvHlznD9/3un4a0mzlroGRo4ciaioKCxatAj/+c9/8PDDDzt9X15ejmHDhiEsLAzr1q1DeHi40/f/+Mc/sG/fPuTk5CAnJwcbNmwAAHz22Wd44403VI+TIJQgcUMQHKSkpOCnn35CUVERSkpKZN92O3bsiK+++go5OTnYt28fxo4d67R8SkoKHnjgATz88MP4+uuvUVhYiO+//x6ff/45AKB9+/YwmUz49ttv8ccff+DChQui2xEsMG+//TYOHz6M+fPnY+PGjZLjKiwsxPTp05GdnY1jx47hf//7Hw4fPmyfIFNSUlBYWIicnByUlJSgpqZG8ljs378fhw4dQklJCerq6nDvvfciPDwcDzzwAHJzc7FlyxY88cQTuP/++9GyZUvR9UyePBnl5eW4++67sWvXLhw5cgT//ve/7W6smTNnYvbs2Zg3bx4OHz6MAwcOYPny5Xjvvfck91FsrBcuXMB3332HkpISVFZWonPnzrj33nvxl7/8BV999RUKCwvx888/46233rJPurxMnDgRJ06cwBNPPIFff/0Va9euxSuvvIKnnnpKVdr49OnT8fPPP2PixInYv38/fv31VyxatAglJSWIiorC448/jmeffRYbN25EXl4exo8fj8rKSowbNw4AcO211yIyMhIvvvgi8vPzsXLlSqxYsULVvgDS13loaCgefPBBTJ8+HR07dnRyf54/fx7Dhg1DRUUFli5divLychQXF6O4uNgulNq1a4f09HT7P0HwdujQAW3atFE9ToJQxGfRPgQRQBw6dIj169ePRUREuKWCuwb+FhYWskGDBrGIiAjWtm1bNn/+fLdAzaqqKjZt2jSWnJxsTwVftmyZ/fvXXnuNJSUlMZPJJJtxtHTpUtamTRsWERHBRo8eLZsKXlxczG655Rb7Ntu3b89efvlle+BrdXU1u/3221lcXJxkKjhjjJ0+fZoNHTqUNW3aVHcq+L59+9iwYcNYZGQki46OZjfccAMrKCiwf//JJ5+wHj16sLCwMBYfH88GDBjAvvrqK/txhktQ6tmzZ53GxBhjEyZMYM2aNXNKBa+trWUvv/wyS0lJYWazmSUlJbFbb72V7d+/nzEmHqArhVwqOGN8AcXCeq677jpmsVhYXFwcGz58uP3aqqqqYk888QRLTEwUTQVnrCGAuGPHjiw8PJz9+c9/ZosXLxZNBXfEdWxi17lAQUEBA2APYhYQS7kX/jn+3hEKKCY8jYkxDY57giAIolGRlZWFG2+8Eb/99pukNY4g/AUSNwRBEIQkNTU1OHHiBB599FEkJyfjk08+8fWQCEIRirkhCIIgJFm1ahWuvPJKlJWV4e233/b1cAiCC7LcEARBEAQRVJDlhiAIgiCIoILEDUEQBEEQQQWJG4IgCIIgggoSNwRBEARBBBUkbgiCIAiCCCpI3BAEQRAEEVSQuCEIgiAIIqggcUMQBEEQRFDx/6pghWCD2KDGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 0.12477 = avg,std dev of TRACT usage.  Here is its weighted histogram\n",
      "plotting the tract use distro in county 30\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting correlation of tractUse to distance from center for county 30\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#start 10:23 end 10:29\n",
    "tractUse = [0.]*nTracts\n",
    "n_bins = 50\n",
    "for cc in [24, 30]:\n",
    "    countyCenter = countyGeom[cc].centroid\n",
    "    countyTractUse = list()\n",
    "    countyWeightList = list()\n",
    "    countyDistanceToCenter = list()\n",
    "    for t in countyTractList[cc]:\n",
    "        for tt in HDtractList[t]:\n",
    "            tractUse[tt] += tractPop[t] / countyPop[cc] * round(countyDistricts[cc],0)\n",
    "    for t in countyTractList[cc]:\n",
    "        countyTractUse.append(tractUse[t])\n",
    "        countyWeightList.append(tractPop[t]/countyPop[cc])\n",
    "        countyDistanceToCenter.append(tractCP[t].distance(countyCenter))\n",
    "        \n",
    "    avgTractUse = 0.\n",
    "    for tt in range(len(countyWeightList)):\n",
    "        avgTractUse += countyTractUse[tt] * countyWeightList[tt]\n",
    "    sumVarTractUse = 0.\n",
    "    for tt in range(len(countyWeightList)):\n",
    "        sumVarTractUse += (countyTractUse[tt]-avgTractUse)**2 * countyWeightList[tt]\n",
    "    sdTractUse = sumVarTractUse ** 0.5\n",
    "    print(r3(avgTractUse),r5(sdTractUse),\"= avg,std dev of TRACT usage.  Here is its weighted histogram\")\n",
    "    print(\"plotting the tract use distro in county\",cc)\n",
    "    fig, ax = plt.subplots(tight_layout=True)\n",
    "    # We can set the number of bins with the *bins* keyword argument.\n",
    "    ax.hist(countyTractUse, bins=n_bins, weights=countyWeightList)\n",
    "    plt.show()\n",
    "    print(\"plotting correlation of tractUse to distance from center for county\",cc)\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.set(xlabel=\"tract dist to center of county\"+str(cc), ylabel=\"tract use\")\n",
    "    plt.scatter(countyDistanceToCenter,countyTractUse)\n",
    "    plt.show()\n",
    "    tList = list()\n",
    "    popList = list()\n",
    "    for t in countyTractList[cc]:\n",
    "        tList.append(t)\n",
    "        popList.append(HD1Pop[t])\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.set(xlabel=\"population of Home Districts in county\"+str(cc))\n",
    "    ax.hist(popList)\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "fac4d2cd-979d-4290-a380-b1dd1de1e2c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OH\n",
      "8941 8941 8941 8941 8941 79941481\n",
      "8941\n"
     ]
    }
   ],
   "source": [
    "print(STATE)\n",
    "print(len(HDTLno), len(countyNo), len(tractCPx), len(HDtype), len(tractPop), len(HDtractList))\n",
    "HDTLL = [list() for i in range(nTracts)]\n",
    "HDTLL = [list() for i in range(nTracts)]\n",
    "for t in range(nTracts):\n",
    "    HDTLL[t] = HDtractList[t].copy()\n",
    "print(len(HDTLL))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "fd44f142-6fab-4b8c-a383-23dcb26be052",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For each whole county, we'll now compare the HD-average county lean to the true county lean\n",
      "for county 24 with 11.0 districts, true pct Trumpers = 0.3405 vs HDavg 0.33497\n",
      "for county 30 with 7.0 districts, true pct Trumpers = 0.41939 vs HDavg 0.41524\n",
      "for county 42 with 2.0 districts, true pct Trumpers = 0.56896 vs HDavg 0.56663\n",
      "for county 49 with 2.0 districts, true pct Trumpers = 0.50962 vs HDavg 0.49351\n",
      "for county 69 with 1.0 districts, true pct Trumpers = 0.70158 vs HDavg 0.70158\n",
      "for county 82 with 2.0 districts, true pct Trumpers = 0.65635 vs HDavg 0.65247\n",
      "for county 84 with 1.0 districts, true pct Trumpers = 0.68813 vs HDavg 0.68813\n"
     ]
    }
   ],
   "source": [
    "print(\"For each whole county, we'll now compare the HD-average county lean to the true county lean\")\n",
    "for c in range(nCounties):\n",
    "    if isWholeCounty[c] == 1:\n",
    "        countyHD_Trumpers = 0.\n",
    "        countyHDvoters = 0.\n",
    "        for t in countyTractList[c]:\n",
    "            for tt in HDtractList[t]:\n",
    "                countyHD_Trumpers += tractPop3[t] / countyPop[c]* vtdTrump[tt]\n",
    "                countyHDvoters += tractPop3[t] / countyPop[c]* (vtdTrump[tt] + vtdBiden[tt])\n",
    "        countyHDvGOP = countyHD_Trumpers / countyHDvoters\n",
    "        cD = round(countyDistricts[c],0)\n",
    "        print(\"for county\",c,\"with\",cD,\"districts, true pct Trumpers =\",r5(county_vGOP[c]),\"vs HDavg\",r5(countyHDvGOP))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e6ce2853-8dfa-4638-bb22-a1247a77f3fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time to capture HD, district tract lists and regional plans to files\n",
      "First, the regional plans, their district lists, and who chose each plan\n",
      "And now the districtTractLists\n",
      "Finally, the HDtractLists\n"
     ]
    }
   ],
   "source": [
    "print(\"Time to capture HD, district tract lists and regional plans to files\")\n",
    "print(\"First, the regional plans, their district lists, and who chose each plan\")\n",
    "nRegionalPlans = len(planTLnos)\n",
    "date = \"02Nov\"\n",
    "PLANNO = [i for i in range(nRegionalPlans)] #    \n",
    "df = pd.DataFrame( {\"PLANNO\":PLANNO,\"planRegionNo\":planRegionNo,\"planTLnos\":planTLnos,\"planChoosers\":planChoosers } ) \n",
    "outname = STATE+str(nDistricts)+\"regionLists.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)\n",
    "\n",
    "print(\"And now the districtTractLists\")\n",
    "DTLNO = [i for i in range( len(districtTractList) ) ]\n",
    "df = pd.DataFrame( {\"DTLNO\":DTLNO, \"districtTractList\":districtTractList})\n",
    "outname = STATE+str(nDistricts)+\"districtTractLists.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)\n",
    "\n",
    "HDTLL = [list() for i in range(nTracts)]   #it thinks HDtractList is one long list\n",
    "for t in range(nTracts):\n",
    "    HDTLL[t] = HDtractList[t].copy()\n",
    "print(\"Finally, the HDtractLists\")\n",
    "HDTLno = [i for i in range(len(countyNo)) ]\n",
    "df = pd.DataFrame( {\"HDTLno\":HDTLno, \"countyNo\":countyNo, \"centroid x\":tractCPx, \"centroid y\":tractCPy,\n",
    "                    \"tractPop\":tractPop,\"HD1Pop\":HD1Pop, \"HDtractList\":HDTLL,\"HDtype\":HDtype,\"chosenPlan\":chosenPlan } )\n",
    "outname = STATE+str(nDistricts)+\"HDTractLists.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f92d4219-4b49-4a05-abe7-96a676aef993",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "region no, counties contained: 0 [47, 25, 34, 61, 86]\n",
      "region no, counties contained: 1 [3, 9, 14, 15, 17, 27, 37, 40, 42, 49, 51, 66, 75, 76, 77, 78, 84]\n",
      "region no, counties contained: 2 [24]\n",
      "region no, counties contained: 3 [30]\n",
      "region no, counties contained: 4 [46, 21, 38]\n",
      "region no, counties contained: 5 [20]\n",
      "region no, counties contained: 6 [56, 8, 11, 18, 28, 54, 67, 82]\n",
      "region no, counties contained: 7 [4, 36, 52, 57, 63, 81, 83]\n"
     ]
    }
   ],
   "source": [
    "# upon cold restart: repeat of above county --> region assignment\n",
    "NWList = [47]\n",
    "LorainList = [46, 21, 38]\n",
    "NEList = []\n",
    "Franklin = [24]\n",
    "Delaware = [20]\n",
    "DaytonList = [56]\n",
    "Hamilton = [30]\n",
    "SEList = [4]\n",
    "regions = [NWList, NEList, Franklin, Hamilton, LorainList, Delaware,  DaytonList,  SEList]\n",
    "regionName = [\"NW\", \"NE\", \"Franklin\",\"Hamilton\",\"N-Lorain\",\"Delaware\", \"Dayton\",  \"SE\"]\n",
    "region_nD = [5, 30, 11, 7, 3,2,7, 1]\n",
    "nRegions = len(regions)\n",
    "for c in range(nCounties):\n",
    "    if c not in DaytonList and countyGeom[c].intersects(countyGeom[DaytonList[0]]):\n",
    "        DaytonList.append(c)\n",
    "    if c not in NWList and countyGeom[c].intersects(countyGeom[NWList[0]]) :\n",
    "        NWList.append(c)\n",
    "    if countyGeom[c].centroid.x > -82. and countyGeom[c].centroid.y > 40.3 :\n",
    "        NEList.append(c)\n",
    "    if c not in SEList and countyGeom[c].intersects(countyGeom[SEList[0]]) :\n",
    "        SEList.append(c)\n",
    "\n",
    "regionCountyList = [list()]*nRegions\n",
    "for r in regions:\n",
    "    rNo = regions.index(r)\n",
    "    regionCountyList[rNo] = list()\n",
    "    plotCenter(regionName[rNo],countyGeom[r[0]])\n",
    "    \n",
    "    for c in r:\n",
    "        plotPoly(countyGeom[c])\n",
    "        regionCountyList[rNo].append(c)\n",
    "    if rNo%4 == 3:\n",
    "        plt.show()\n",
    "for r in regions:\n",
    "    print(\"region no, counties contained:\",regions.index(r),regionCountyList[regions.index(r)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4206726a-2e28-4e15-833c-be16fe22ca64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, we will generate a final list of districts including single and regional plans\n",
      "For single HDs (in wholeDistrict counties), seat weight = tractPop / county avgDistrictPop\n",
      "For regional plans, seat weights reflect the fraction of region supporting that plan\n"
     ]
    }
   ],
   "source": [
    "print(\"now, we will generate a final list of districts including single and regional plans\")\n",
    "print(\"For single HDs (in wholeDistrict counties), seat weight = tractPop / county avgDistrictPop\")\n",
    "print(\"For regional plans, seat weights reflect the fraction of region supporting that plan\")\n",
    "need2read = \"yes\"\n",
    "if need2read == \"yes\":  #cold re-start\n",
    "    import ast\n",
    "    infilename = \"OH99nocountysplit_regionLists.csv\"\n",
    "    regionListFile = pd.read_csv(\"state_HD_output/nocountysplit2process/\"+infilename)\n",
    "    infilename = \"OH99nocountysplit_districtTractLists.csv\"\n",
    "    districtListFile = pd.read_csv(\"state_HD_output/nocountysplit2process/\"+infilename)\n",
    "    infilename = \"OH99nocountysplit_HDtractLists.csv\"\n",
    "    HDTLFile = pd.read_csv(\"state_HD_output/nocountysplit2process/\"+infilename)\n",
    "    chosenPlan = HDTLFile['chosenPlan']\n",
    "    tractPop = HDTLFile['tractPop']\n",
    "    countyNo = HDTLFile['countyNo']\n",
    "    HDTL = HDTLFile['HDtractList']\n",
    "    PLANNO = regionListFile['PLANNO']\n",
    "    planRegionNo = regionListFile['planRegionNo']\n",
    "    planTLnosList = regionListFile['planTLnos']         #need to ast this list; see below\n",
    "    planChoosersList = regionListFile['planChoosers']   #need to ast this list; see beo\n",
    "    DTLNO = districtListFile['DTLNO']\n",
    "    districtTractListString = districtListFile['districtTractList']\n",
    "    # for two of these lists, we need to convert from string to actual lists\n",
    "    nPlans = len(PLANNO)\n",
    "    planTLnos = [list()]*nPlans\n",
    "    planChoosers = [list()]*nPlans\n",
    "    nDTLs = len(DTLNO)\n",
    "    districtTractList = [list()]*nDTLs\n",
    "    for p in range(nPlans):\n",
    "        if planTLnosList[p] != \"[]\" :  #avoid error\n",
    "            planTLnos[p] = ast.literal_eval(planTLnosList[p])\n",
    "        if planChoosers[p] != \"[]\" :  #avoid error\n",
    "            planChoosers[p] = ast.literal_eval(planChoosersList[p])\n",
    "    for d in range(nDTLs):\n",
    "        if districtTractListString[d] != \"[]\":\n",
    "            districtTractList[d] = ast.literal_eval(districtTractListString[d])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9c2140ea-ad78-4a17-b23f-a3758c3ab1aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will first calculate the HDweight for each regional plan and its associated districts\n",
      "Now I will add in the single-district plans from the two large blue counties comprised of whole districts\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(countyNo)\n",
    "nRegions = np.max(planRegionNo) + 1\n",
    "nHDTLs = [0]*nRegions  #for each region, total number of districts drawn across all plans for this region\n",
    "regionChooserPop = [0.]*nRegions\n",
    "planChooserPop = [0.]*nPlans\n",
    "planFracChooserPop = [0.]*nPlans\n",
    "finalHDTLlist = list()\n",
    "finalHDTLcountyNo = list()\n",
    "finalHDTLweight = list()\n",
    "finalRegionNo = list()\n",
    "print(\"I will first calculate the HDweight for each regional plan and its associated districts\")\n",
    "for p in range(nPlans):\n",
    "    r = planRegionNo[p]\n",
    "    for t in planChoosers[p]:\n",
    "        regionChooserPop[r] += tractPop[t]\n",
    "        planChooserPop[p] += tractPop[t]\n",
    "    nHDTLs[r] += len(planTLnos[p])\n",
    "for p in range(nPlans):\n",
    "    planFracChooserPop[p] = planChooserPop[p] / regionChooserPop[planRegionNo[p]]\n",
    "    for d in planTLnos[p]:\n",
    "        currList = districtTractList[d]\n",
    "        finalHDTLlist.append(currList)\n",
    "        finalHDTLcountyNo.append(countyNo[currList[0]])  #any county in region OK for this\n",
    "        finalHDTLweight.append(planFracChooserPop[p]/float(nDistricts))\n",
    "        finalRegionNo.append(planRegionNo[p])\n",
    "\n",
    "print(\"Now I will add in the single-district plans from the two large blue counties comprised of whole districts\")\n",
    "for t in range(nHDs): #KISS, just go through all tracts to find those in Franklin and Hamilton       \n",
    "    hC = countyNo[t]\n",
    "    for r in range(2,4): #Hamilton and Franklin are [2] and [3] in this list.\n",
    "        if hC in regionCountyList[r]:\n",
    "            aDP = countyPop[hC] / round(countyDistricts[hC],0) #county-specific avgDistrictPop\n",
    "            planNo = len(finalHDTLlist)\n",
    "            finalHDTLlist.append(HDTL[t])\n",
    "            finalHDTLcountyNo.append(countyNo[t])\n",
    "            finalHDTLweight.append(tractPop[t] / aDP / float(nDistricts))\n",
    "            finalRegionNo.append(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6e082dff-a0d0-4863-8ec3-6db10b6509f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will save the combined single + regional HDTL to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Now we will save the combined single + regional HDTL to a file\")\n",
    "date = \"27Nov\"  #only change from 15Nov is to assign Lorain area to region 4, not region 0 w/Toledo\n",
    "HDTLno = [i for i in range(len(finalHDTLweight)) ]\n",
    "df = pd.DataFrame( {\"HDTLno\":HDTLno, \"countyNo\":finalHDTLcountyNo, \"regionNo\":finalRegionNo,\n",
    "                   \"HDweight\":finalHDTLweight, \"HDTL\":finalHDTLlist} )\n",
    "outname = STATE+str(nDistricts)+date+\"NosplitALLhdtl.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2fd3cef-e166-4786-b441-befb3719143e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#29-Oct-23 no actual changes made in the last 8 months.  Realized I can use legislCountyMuni to meet county-only need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5aa24e07-7e75-473a-868c-b111265d1e2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7cffd4c1-c517-4cae-88ea-89b71b6ae7ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time for some debugging, as eval_postedOhiomaps reports low Dem seat totals\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all done evaluating 2020Pres lean for county 24\n",
      "nTrump and nBiden districts were 0.6660706583361472 10.333929341663854\n"
     ]
    }
   ],
   "source": [
    "print(\"Time for some debugging, as eval_postedOhiomaps reports low Dem seat totals\")\n",
    "nTrumpDistricts = 0\n",
    "nBidenDistricts = 0\n",
    "c = 24\n",
    "for t in range(len(HDTLno)):\n",
    "    if finalHDTLcountyNo[t] == c: \n",
    "        nTrumpers = 0.\n",
    "        nBideners = 0.\n",
    "        LIST = ast.literal_eval(finalHDTLlist[t])\n",
    "        for tt in LIST:\n",
    "            nTrumpers += vtdTrump[tt]\n",
    "            nBideners += vtdBiden[tt]\n",
    "        if nTrumpers > nBideners:\n",
    "            nTrumpDistricts += finalHDTLweight[t]\n",
    "        else:\n",
    "            nBidenDistricts += finalHDTLweight[t]\n",
    "        if t%100 == 0:\n",
    "            for tt in LIST:\n",
    "                plotPoly(tractGeom[tt])\n",
    "            plotCenter(t,tractGeom[LIST[0]])\n",
    "            plotPoly(countyGeom[c])\n",
    "            plt.show()\n",
    "print(\"all done evaluating 2020Pres lean for county\",c)\n",
    "print(\"nTrump and nBiden districts were\",nTrumpDistricts*99, nBidenDistricts*99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51c136d3-e43e-459e-b052-d26c1ae309f8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "09dce7aa-bc79-4d0a-8a58-46b3eb3d09b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"We will do voting by election in the eval_postedOhiomaps ipynb\")\n",
    "# NONE OF THE BELOW CODE IS (YET) USED.  Since Franklin and Hamilton have good HDvGOP vs. county_vGOP, do not patch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "483d95cf-64fc-487d-b4d3-ad03e215da64",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af4a433b-d805-43de-8e44-2f5ec8527a0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"This code block creates the HDtractList for each OPEN RANGE HD\")  #ready to debug 10/15/22 if we want to run it\n",
    "# The idea here is to ratio up (rarely down) the radii in the original HD shape to capture whole tracts, avoiding banned counties\n",
    "# might lead to discontinuous districts.  May be better to start from Athens code, then add neighbors-of-neighbors if needed\n",
    "openRangeList = []\n",
    "snappedToler = 0.03 #adjustable - relative tolerance in district pop after snapping to whole tracts.  More slop as legislative are +/- 0.05\n",
    "snappedTolerPop = snappedToler * avgDistrictPop \n",
    "for t in range(nHDs):\n",
    "    if HDtype[t] == \"openRange\":\n",
    "        openRangeList.append(t)\n",
    "nPrint = 100\n",
    "for t in openRangeList:\n",
    "    if t%nPrint == 0:\n",
    "        print(\"working on openRange tract\",t)\n",
    "    # ADD A LITTLE CODE HERE TO DEFINE THE PERMISSIBLE TRACT LIST ...\n",
    "    # HDtractList[t] = snapHD(t,avgDistrictPop, snappedTolerPop, PERMISSIBLE_LIST,tractCP, tractPop3, angle, currentR, MAX_DR)\n",
    "        \n",
    "    HDangle = [HDangle0[t],  HDangle1[t], HDangle2[t], HDangle3[t] ]  #starting angle - pull from simple HD1 shape for this tract's HD\n",
    "    HDangle2 = [HDangle1[t], HDangle2[t], HDangle3[t], HDangle0[t] ]   #ending angle for this wedge\n",
    "    HDradius = [HDradius0[t], HDradius1[t], HDradius2[t], HDradius3[t] ]\n",
    "    wedgePoly = [dummyPoly]*nWedges \n",
    "    snappedPop = 0.\n",
    "    MAX_DR = MAPdiagonal\n",
    "    Rratio = 1.0  #ratio of radii to original HD1 radii\n",
    "    snapLoopNo = 0\n",
    "    maxSnapLoopNo = 15\n",
    "    while abs(snappedPop - avgDistrictPop) > snappedTolerPop and snapLoopNo < maxSnapLoopNo:\n",
    "        snappedHDtractList = []\n",
    "        snappedPop = 0.  #reset this loop's county pop ensnared in the HDpolly\n",
    "        if snapLoopNo > 0:  #we don't start bisecting until after the first loop\n",
    "            dr = MAX_DR * np.sign(avgDistrictPop - snappedPop)\n",
    "            Rratio = max( 0.5 * Rratio, Rratio + dr)\n",
    "            MAX_DR = MAX_DR * 0.5\n",
    "        HDpolly = tractCP[t].buffer(0.001) #seeding this loop's expanded or contracted HD1 polygon shape           \n",
    "        for nW in range(nWedges):  #draw each wedge, add to the HDpolly\n",
    "            cR = Rratio * HDradius[nW]\n",
    "            outerPt2 = Point(tractCP[t].x+cR*math.cos(HDangle[nW]), tractCP[t].y+cR*math.sin(HDangle[nW]) )\n",
    "            outerPt3 = Point(tractCP[t].x+cR*math.cos(HDangle2[nW]),tractCP[t].y+cR*math.sin(HDangle2[nW]) )\n",
    "            HDpolly =  HDpolly.union( Polygon([tractCP[t],outerPt2,outerPt3]) )  #add this wedge to HD district polygon\n",
    "        for c in range(nCounties):\n",
    "            if c not in bannedCounties[t] and HDpolly.intersects(countyGeom[c]) :\n",
    "                for tt in countyTractList[c]:\n",
    "                    if HDpolly.contains(tractCP[tt]):\n",
    "                        snappedPop += tractPop3[tt]\n",
    "                        snappedHDtractList.append(tt)\n",
    "        if snapLoopNo = maxSnapLoopNo:\n",
    "            print(\"Somehow, we did not converge on snapping HD\",t,\"to whole tracts. Final pop vs aDP =\",r3(snappedPop),\"vs\",r3(avgDistrictPop) )\n",
    "        # Now, finalize the stats for this snapped HD\n",
    "        HDtractList[t] = snappedHDtractList\n",
    "        snappedHDpop[t] = snappedPop\n",
    "\n",
    "print(\"All done snapping\",len(openRangeList),\"HDs to whole vtds from original HD1 shapes, barring banned counties\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "dd30e1f0-be6d-4906-ba56-5cb9c17f6400",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDtotVote = [0.]*nTracts\n",
    "for t in range(nTracts):\n",
    "    for tt in HDtractList[t]:\n",
    "        HDtotVote += vtdTrump[tt] + vtdBiden[tt]\n",
    "    HDtotVote -= (1. - partialTractUse[t]) * (vtdTrump[partialTractNo[t]] + vtdBiden[partialTractNo[t]] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "65e442fb-b9f0-43e8-9d5a-7465c005d07c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now capture the unpatched HDpiece results in a csv file\n"
     ]
    }
   ],
   "source": [
    "#start 9:02, end 9:46\n",
    "print(\"I will now capture the unpatched HDpiece results in a csv file\")\n",
    "date = \"14Sep\"\n",
    "#write another file - tract Use and GOP lean - don't write the geometries\n",
    "tractNo = [0]*nTracts\n",
    "for t in range(nTracts):\n",
    "    tractNo[t] = t\n",
    "df = pd.DataFrame( {\"tractNo\":tractNo,\"centroid x\":tractCPx,\"centroid y\":tractCPy,\"tractPop\":tractPop,\"HDwt\":HDweight,\n",
    "                    \"HD-pop\":HDvPop,\"HDvGOP\":HDvGOP,\"HDtotVote\":HDtotVote,\"HDvBlack\":HDvBlack,\"HDvHisp\":HDvHisp, \"HDarea\":HDarea,\n",
    "                    \"angle0\":angle0,\"HDtractList\":HDtractList,\"partialNo\":partialTractNo,\"partialUse\":partialTractUse,\n",
    "                   \"vtdBiden\":vtdBiden,\"vtdTrump\":vtdTrump,\"neighborList\":neighborList} ) \n",
    "\n",
    "outname = STATE+str(nDistricts)+\"HDpcL\"+str(levelL)+\"lLmAR\"+str(maxAngleRatio)+date+\"unpatched.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f34423b0-b0d1-475b-8ff3-f6d31e599226",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now compute the tract usage\n",
      "and plot the tract usage distro\n",
      "1.0 0.21141 = avg,std dev of TRACT usage.  Here is its weighted histogram\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"I will now compute the tract usage\")\n",
    "tractUse = [0.]*nTracts\n",
    "for t in range(nTracts):\n",
    "    for tt in HDtractList[t]:\n",
    "        tractUse[tt] += tractPop[t] / avgDistrictPop\n",
    "        if partialTractNo[t] == tt:\n",
    "            tractUse[tt] -= tractPop[t] / avgDistrictPop * (1. - partialTractUse[t])\n",
    "print(\"and plot the tract usage distro\")\n",
    "n_bins=50\n",
    "avgTractUse = 0.\n",
    "statePop = np.sum(tractPop)\n",
    "for t in range(nTracts):\n",
    "    avgTractUse += tractUse[t] * HDweight[t]\n",
    "sumVarTractUse = 0.\n",
    "for t in range(nTracts):\n",
    "    sumVarTractUse += (tractUse[t]-avgTractUse)**2 * HDweight[t]\n",
    "sdTractUse = sumVarTractUse ** 0.5\n",
    "print(r3(avgTractUse),r5(sdTractUse),\"= avg,std dev of TRACT usage.  Here is its weighted histogram\")\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "# We can set the number of bins with the *bins* keyword argument.\n",
    "ax.hist(tractUse, bins=n_bins, weights=HDweight)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a5103a4-8d68-4dc4-82c3-9938749f4cf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to add in here - calculation of each Home District's lean based on a partisan lean model (by election year)\n",
    "#for pie-cut HDs, technically we could create ghost HDs of their other pie halves, and track the R-D lean of them\n",
    "#before doing that, let's see if it matters -- do the # of GOP vs. Dem voters across all pie HDs match the county partisan vote totals?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb726d1f-6f9b-4e35-ac79-c7968d7b120a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c83d973e-a9b0-4e76-94a0-bd6904a59a87",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a94dc37b-2032-44ee-a452-d7c3c65b7ebc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "ef1b7278-b0de-4bbc-b91f-111e82c9fe5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a histogram of home-district pct GOP by tract\n",
      "statewide vote is off by 0.0019 0.43251 HD avg vs true 0.43061\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_bins=50\n",
    "print(\"this is a histogram of home-district pct GOP by tract\") \n",
    "print(\"statewide vote is off by\",round((stateGOP2-stateGOP),5),round(stateGOP2,5),\"HD avg vs true\",round(stateGOP,5))\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "# We can set the number of bins with the *bins* keyword argument.\n",
    "ax.hist(HDvGOP, bins=n_bins,weights=HDweight)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "9db8f486-ca70-4150-8636-ffbdd4a9d07a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the correlation of HD area to red-blue lean\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... and here is the correlation of tract usage to red-blue lean\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Here is the correlation of HD area to red-blue lean\")\n",
    "fig, ax = plt.subplots()\n",
    "plt.scatter(HDarea,HDvGOP,marker='.' )   #need to calculate HD area before do\n",
    "ax.set(xlabel=\"tract area\", ylabel=\"home district pct GOP\")\n",
    "plt.show()\n",
    "print(\"... and here is the correlation of tract usage to red-blue lean\")\n",
    "fig, ax = plt.subplots()\n",
    "plt.scatter(HDvGOP,tractUse, marker='.' )\n",
    "ax.set(xlabel=\"home district pct GOP\", ylabel=\"tractUse\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e131623f-1b84-4a2a-857d-f46d99aa9c9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simpler and fractional-seat-smeared (var of 0.04 ) responsiveness are 3.525 3.17963\n",
      "0.33426 fractional expected GOP seats =  2.674  out of  8 seats\n",
      "simpler expected GOP seats =  2.8862  out of  8 seats\n"
     ]
    }
   ],
   "source": [
    "# UPDATED VOTES-SEATS CURVE (from votes2seats.ipynb 1/15/22)\n",
    "# LET'S REWORK OUR VOTES - SEATS CALCULATIONS\n",
    "# FIRST, LET'S DO THE BASIC VOTES-TO-SEATS, no fractional seats\n",
    "# INPUTS ARE HDvGOP[nTracts] and HDweight[nTracts]\n",
    "# HDvGOP is the redness lean of each Census tract's Home District\n",
    "# HDweight is the population of this Census tract relative to the state population\n",
    "# stateGOP is the statewide fraction of GOP vote vs. GOP + Dem vote\n",
    "# KEY EQUATION:\n",
    "# expected Seats at a given vote V = sum(HDweight) for tracts with HDvGOP > 0.5 + (V - stateGOP)\n",
    "# for easy calculation, create ~1000 bins, each bin containing HD's in a dV vote window\n",
    "nBins = 1000\n",
    "dV = 1./nBins\n",
    "binWeight = [0.]*nBins\n",
    "\n",
    "for t in range(nTracts):\n",
    "    binNo = int(HDvGOP[t]*nBins)   #which vote bin does this tract's vote go into for the expected statewide vote?\n",
    "    binWeight[binNo] += HDweight[t]\n",
    "    \n",
    "binVote = [0.]*nBins  #this will store the statewide vote for this bin\n",
    "for b in range(nBins) :\n",
    "    binVote[b] = b*dV\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, binWeight, marker='.',linestyle=\"none\")\n",
    "ax.set(xlabel=\"district pct GOP\", ylabel=\"bin weight\")\n",
    "plt.show()   #this should resemble above histogram\n",
    "\n",
    "#continuing with votes-to-seats, let's compute the S(V) curve with no fractional-seat smearing\n",
    "cumVote = [0.]*nBins\n",
    "for b in range(nBins) :\n",
    "    cumVote[nBins-b-1] = np.sum(binWeight[:(b+1)])  #cumulative weight of all Home Districts below vote b*dV\n",
    "    # print(\"bin, bin vote, cumVote for this bin\",b,b*dV,cumVote[b] )\n",
    "    \n",
    "cumSeats = [0.]*nBins  #this will sum the seats earned for a given statewide vote\n",
    "stateVoteBin = int( (stateGOP+0.5*dV)*nBins )   #which bin (out of 1/dV) holds the statewide total vote?\n",
    "for b in range(nBins) :\n",
    "    bb = int( max(0,min(nBins-1,nBins/2 + b-stateVoteBin)) )\n",
    "    cumSeats[b] = 1. - cumVote[bb]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, cumSeats, marker='.',linestyle=\"none\")\n",
    "ax.set(xlabel=\"statewide vote, nBins =\"+str(nBins)+\",\"+str(STATE), ylabel=\"GOP seats won (no fractl smearing)\")\n",
    "RANGE = [0.1, 0.9]\n",
    "fifty50 = [0.5, 0.5]\n",
    "expected = [stateGOP, stateGOP]\n",
    "plt.plot(RANGE,fifty50)\n",
    "plt.plot(fifty50,RANGE)\n",
    "plt.plot(expected,RANGE, linestyle=\"--\",color='red')\n",
    "\n",
    "#LET'S ALSO crudely ESTIMATE RESPONSIVENESS near the STATEWIDE VOTE, with a pseudonormal weighting and lst-sq fit\n",
    "stateSigma = 0.03  #User-adjustable, this is the uncertainty in the statewide vote from election to election\n",
    "usedBins = int(stateSigma/dV)\n",
    "nFitPoints = 6*usedBins\n",
    "voteData = [0.]*nFitPoints\n",
    "seatData = [0.]*nFitPoints\n",
    "counter = 0\n",
    "for b in range(nBins):\n",
    "    if ( abs(b-stateVoteBin) <= 2*usedBins ):  #include this S-V pair in our line fit\n",
    "        voteData[counter]=binVote[b]\n",
    "        seatData[counter]=cumSeats[b]\n",
    "        counter += 1\n",
    "        # print(b,counter)\n",
    "        if ( abs(b-stateVoteBin) < usedBins) : #double count this in data set\n",
    "            voteData[counter]=binVote[b]\n",
    "            seatData[counter]=cumSeats[b]\n",
    "            counter +=1\n",
    "fit = np.polyfit(voteData,seatData,1)  #first-order linear regression with old polyfit\n",
    "Rsimple = fit[0]     #slope is fit[0] in y = mx + b, intercept is fit[1]\n",
    "y0 = fit[1]\n",
    "Rx = [stateGOP - 4.*stateSigma, stateGOP + 4.*stateSigma]\n",
    "Ry = [y0 + Rx[0]*Rsimple, y0 + Rx[1]*Rsimple]\n",
    "plt.plot(Rx,Ry ) \n",
    "ax.text(Rx[1]+0.02, Ry[1]+0.02, \"R = \"+str(round(Rsimple,4)), transform=ax.transAxes, fontsize=14,color='purple')\n",
    "expectedSeats = cumSeats[stateVoteBin]\n",
    "ax.text(0.02,expectedSeats+0.03,\"expected seats = \"+str(round(expectedSeats,3)),transform=ax.transAxes,fontsize=9)\n",
    "ax.text(stateGOP+0.01,0.1,\"HD statewide vote = \"+str(round(stateGOP2,3)),transform=ax.transAxes,fontsize=9)\n",
    "Ex = [0,stateGOP ]\n",
    "Ey = [expectedSeats, expectedSeats]\n",
    "plt.plot(Ex,Ey, linestyle='-.',color='red')\n",
    "plt.show()\n",
    "\n",
    "#3/6/22 - alternate votes-to-seats with fractional seat smearing.\n",
    "# First, compute the general cdf sliver for -3 sigma to +3 sigma\n",
    "# Then, apply this smearing to the binVote weights\n",
    "seatVar = 0.04\n",
    "nBins = 1000\n",
    "nSigma = 6.  #how many total sigma of deviation we are explicitly modeling; the rest go into the tails\n",
    "nSlivers = 2*int(3*nBins*seatVar)  #budget for 3 sigma on either side of the expected vote\n",
    "sliverWt = [0.]*nSlivers  #each sliver holds the cdf reflecting the relative distance from the mean vote\n",
    "sliverSigma = [0.]*nSlivers\n",
    "totalSliverWt = 0.\n",
    "for nS in range(nSlivers):\n",
    "    dSigmaHigh = nSigma* (nS+0.5 - nSlivers/2) / float(nSlivers)\n",
    "    dSigmaLow =  nSigma* (nS-0.5 - nSlivers/2) / float(nSlivers)\n",
    "    sliverSigma[nS] = 0.5*(dSigmaHigh+dSigmaLow)  #for plotting; keeps track of this sliver's center sigma\n",
    "    sliverWt[nS] = norm.cdf(dSigmaHigh) - norm.cdf(dSigmaLow)\n",
    "    totalSliverWt += sliverWt[nS]\n",
    "lowSliverWt = 0.5 * (1. - totalSliverWt)\n",
    "highSliverWt = lowSliverWt\n",
    "#print(\"each tail of distribution has weight\",round(lowSliverWt,4) )\n",
    "#plt.plot(sliverSigma,sliverWt)\n",
    "#plt.show()\n",
    "# OK, that worked as expected.  Now, do the smearing of each bin\n",
    "smearedBinWeight = [0.]*nBins\n",
    "for b in range(nBins):\n",
    "    centerBinNo = b #int(HDvGOP[t]*nBins)   #which vote bin does this tract's vote go into for the expected statewide vote?\n",
    "    binOffset = int(nSlivers/2)\n",
    "    for nS in range(nSlivers):\n",
    "        binNo = centerBinNo + nS - binOffset\n",
    "        if (binNo < 0): #deep blue district; variance would push vote %R < 0\n",
    "            binNo = 0\n",
    "        if (binNo >= nBins):  #deep red district; variance would push vote %R > 1\n",
    "            binNo = nBins - 1\n",
    "        smearedBinWeight[binNo] += binWeight[b]*sliverWt[nS]\n",
    "    # Now put the tails into the correct bins\n",
    "    binNo = centerBinNo -1 - binOffset  #left tail\n",
    "    if binNo < 0:\n",
    "        binNo = 0\n",
    "    smearedBinWeight[binNo] += binWeight[b]*lowSliverWt\n",
    "    binNo = centerBinNo + nSlivers - binOffset  #right tail\n",
    "    if binNo >= nBins:\n",
    "        binNo = nBins -1 \n",
    "    smearedBinWeight[binNo] += binWeight[b]*highSliverWt\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, binWeight, marker='.',linestyle=\"none\",label=\"unsmeared\")\n",
    "plt.plot(binVote, smearedBinWeight, marker='o',linestyle=\"none\",label=\"smeared\")\n",
    "RANGE = [0.0, 0.5*np.max(binWeight)]\n",
    "sGOP = [stateGOP, stateGOP]\n",
    "plt.plot(sGOP,RANGE,linestyle=\"-\",label=\"statewide \"+str(round(stateGOP,3)) )\n",
    "ax.set(xlabel=\"district pct GOP\", ylabel=\"bin weight\")\n",
    "plt.legend()\n",
    "plt.show()   #this should resemble above histogram\n",
    "\n",
    "#continuing with votes-to-seats, let's compute the S(V) curve with no fractional-seat smearing\n",
    "smearedBinVote = [0.]*nBins  #this will store the statewide vote for this bin\n",
    "cumSmearedVote = [0.]*nBins\n",
    "for b in range(nBins) :\n",
    "    smearedBinVote[b] = b*dV\n",
    "    cumSmearedVote[nBins-b-1] = np.sum(smearedBinWeight[:(b+1)])  #cumulative weight of all Home Districts below vote b*dV\n",
    "    # print(\"bin, bin vote, cumVote for this bin\",b,b*dV,cumVote[b] )\n",
    "    \n",
    "cumSmearedSeats = [0.]*nBins  #this will sum the seats earned for a given statewide vote\n",
    "stateVoteBin = int( (stateGOP+0.5*dV)*nBins )   #which bin (out of 1/dV) holds the statewide total vote?\n",
    "for b in range(nBins) :\n",
    "    bb = int( max(0,min(nBins-1,nBins/2 + b-stateVoteBin)) )\n",
    "    cumSmearedSeats[b] = 1. - cumSmearedVote[bb]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(smearedBinVote,cumSmearedSeats, marker='o',linestyle=\"none\",label=str(seatVar)+\" smear\")\n",
    "plt.plot(binVote, cumSeats, marker='.',linestyle=\"none\",label=\"no smear\")\n",
    "ax.set(xlabel=\"statewide vote, nBins =\"+str(nBins)+\", state=\"+str(STATE), ylabel=\"GOP seats won\")\n",
    "RANGE = [0.1, 0.9]\n",
    "fifty50 = [0.5, 0.5]\n",
    "expected = [stateGOP, stateGOP]\n",
    "expectedSeats = cumSeats[stateVoteBin]\n",
    "expectedS = [expectedSeats,expectedSeats]\n",
    "smearedSeats = cumSmearedSeats[stateVoteBin]\n",
    "smearedS = [smearedSeats,smearedSeats]\n",
    "plt.plot(RANGE,fifty50)\n",
    "plt.plot(fifty50,RANGE)\n",
    "plt.plot(RANGE,smearedS, linestyle=\"--\",color='blue',label=str(round(expectedSeats,3))+\"no smear\")\n",
    "plt.plot(RANGE,expectedS, linestyle=\"--\",color='orange',label=str(round(smearedSeats,3))+\"smeared\")\n",
    "plt.plot(expected,RANGE, linestyle=\"--\",color='red')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "#Finally, let's compare responsiveness using smeared (fractional seat variance) to non-smeared calculated above\n",
    "#LET'S ALSO crudely ESTIMATE (smeared) RESPONSIVENESS near the STATEWIDE VOTE, as we did for non-smeared\n",
    "stateSigma = 0.03  #User-adjustable, this is the uncertainty in the statewide vote from election to election\n",
    "usedBins = int(stateSigma/dV)\n",
    "nFitPoints = 6*usedBins\n",
    "voteData = [0.]*nFitPoints\n",
    "seatData = [0.]*nFitPoints\n",
    "counter = 0\n",
    "for b in range(nBins):\n",
    "    if ( abs(b-stateVoteBin) <= 2*usedBins ):  #include this S-V pair in our line fit\n",
    "        voteData[counter]=smearedBinVote[b]\n",
    "        seatData[counter]=cumSmearedSeats[b]\n",
    "        counter += 1\n",
    "        # print(b,counter)\n",
    "        if ( abs(b-stateVoteBin) < usedBins) : #double count this in data set\n",
    "            voteData[counter]=smearedBinVote[b]\n",
    "            seatData[counter]=cumSmearedSeats[b]\n",
    "            counter +=1\n",
    "fit = np.polyfit(voteData,seatData,1)  #first-order linear regression with old polyfit\n",
    "Rsmeared = fit[0]     #slope is fit[0] in y = mx + b, intercept is fit[1]\n",
    "y0 = fit[1]\n",
    "\n",
    "print(\"simpler and fractional-seat-smeared (var of\",seatVar,\") responsiveness are\",r3(Rsimple) ,r5(Rsmeared) )   \n",
    "print(r5(smearedSeats),\"fractional expected GOP seats = \",r3(nDistricts*smearedSeats),\" out of \",nDistricts,\"seats\")\n",
    "print(\"simpler expected GOP seats = \",round(nDistricts*expectedSeats,4),\" out of \",nDistricts,\"seats\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "5793698b-d681-4b37-a954-29937a12f61c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3108\n"
     ]
    }
   ],
   "source": [
    "#plot tractUse here ...\n",
    "print(nTracts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "74a657df-47e5-456d-9ee4-81690ec2b8f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On a cold re-start, we need to regenerate the countyGeoms and neighborLists\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_53/1687193767.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mcountyGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtractGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m                 \u001b[0mcountyGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcountyGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtractGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"countyGeoms regenerated, now build the neighborlists\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;31m# start with county neighbor list for efficiency\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/shapely/geometry/base.py\u001b[0m in \u001b[0;36munion\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    696\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0munion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    697\u001b[0m         \u001b[0;34m\"\"\"Returns the union of the geometries (Shapely geometry)\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 698\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mgeom_factory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimpl\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'union'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    699\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    700\u001b[0m     \u001b[0;31m# Unary predicates\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/shapely/topology.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, this, other, *args)\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mthis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstop_prepared\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m         \u001b[0mproduct\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mthis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_geom\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_geom\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mproduct\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m             err = TopologicalError(\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "print(\"On a cold re-start, we need to regenerate the countyGeoms and neighborLists\")\n",
    "countyGeom = [dummyPoly]*nCounties\n",
    "countyTractList = [[]] * nCounties\n",
    "for c in range(nCounties):  #nCounties\n",
    "    countyTractList[c] = []\n",
    "    for t in range(nTracts):\n",
    "        if countyNo[t] == c:\n",
    "            countyTractList[c].append(t)\n",
    "            if countyGeom[c] == dummyPoly:\n",
    "                countyGeom[c] = tractGeom[t]\n",
    "            else:\n",
    "                countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "print(\"countyGeoms regenerated, now build the neighborlists\")\n",
    "# start with county neighbor list for efficiency\n",
    "\n",
    "neighborCountyList = [-999]*nCounties\n",
    "for c in range(nCounties):\n",
    "    neighborCountyList[c] = []\n",
    "for c in range(nCounties):\n",
    "    for cc in range(c+1,nCounties):\n",
    "        if c != cc :  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"done with county neighbors\")\n",
    "\n",
    "neighborList = [\"empty\"]*nTracts\n",
    "for p in range(nTracts):  #this loop takes about 3 minutes for 9000 tracts\n",
    "    neighborList[p] = []\n",
    "for p in range(nTracts):\n",
    "    if p%400 == 0:\n",
    "        print(\"working on census vtd no\",p)\n",
    "    for pp in countyTractList[countyNo[p]] : #for efficiency, look only in home county and ...\n",
    "        if tractGeom[p].intersects(tractGeom[pp]) and p != pp:\n",
    "            neighborList[p].append(pp)\n",
    "    for cc in neighborCountyList[countyNo[p]]:  #... and neighboring counties\n",
    "        for pp in countyTractList[cc]:\n",
    "            if tractGeom[p].intersects(tractGeom[pp]):\n",
    "                neighborList[p].append(pp)\n",
    "print(\"all done finding each county's and each vtd's neighbors\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "355d0e12-6742-4c92-a009-ffdc84e9146c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ON A COLD RESTART ONLY, we need to read in each Home District's list of used tracts, and other stats\n",
      "I converted each HDtractList to a list.  Now I'll compute each tract's usage across all Home Districts\n",
      "all done computing tract usages.  Cold re-start complete\n"
     ]
    }
   ],
   "source": [
    "# COLD RESTART WITH NEIGHBOR LIST *******\n",
    "nDistricts = 8  #CO CONGRESSIONAL\n",
    "avgDistrictPop = np.sum(tractPop)/nDistricts\n",
    "print(\"ON A COLD RESTART ONLY, we need to read in each Home District's list of used tracts, and other stats\")\n",
    "infilename = \"CO8HDpcL0.36lLmAR1.914Sepunpatched.csv\"\n",
    "df1 = pd.read_csv(\"state_HD_output/\"+infilename)\n",
    "HDArea = df1['HDarea']\n",
    "HDvGOP = df1['HDvGOP']\n",
    "HDtractListString = df1['HDtractList']\n",
    "partialTractNo = df1['partialNo']\n",
    "partialTractUse = df1['partialUse']\n",
    "vtdTrump = df1['vtdTrump']\n",
    "vtdBiden = df1['vtdBiden']\n",
    "#tractCPx = df1['centroid x']   #UNCOMMENT THESE IF WE DID NOT PULL WITH TRACT GEOMETRIES\n",
    "#tractCPy = df1['centroid y']\n",
    "#tractCP = [Point(0,0)]*nTracts\n",
    "#for t in range(nTracts):\n",
    "#    tractCP[t] = Point(tractCPx[t],tractCPy[t])\n",
    "neighborListString = df1['neighborList']   #just now implemented.  Uncomment if not implemented\n",
    "\n",
    "HDvGOP = HDvGOP.to_numpy()\n",
    "partialTractUse = partialTractUse.to_numpy()\n",
    "import ast\n",
    "HDtractList = [[]]*nTracts  #convert to list, as these read in as strings\n",
    "neighborList = [[]]*nTracts  #convert to list, as these read in as strings\n",
    "for t in range(nTracts):\n",
    "    if HDtractListString[t] != \"[]\" :  #special handling for empty lists (nonpopd tracts)\n",
    "        HDtractList[t] = ast.literal_eval(HDtractListString[t])\n",
    "    if neighborListString[t] != \"[]\" :  #special handling for empty lists (nonpopd tracts)\n",
    "        neighborList[t] = ast.literal_eval(neighborListString[t])\n",
    "\n",
    "print(\"I converted each HDtractList to a list.  Now I'll compute each tract's usage across all Home Districts\")\n",
    "tractUse = [0.]*nTracts\n",
    "for tt in range(nTracts):\n",
    "    for t in HDtractList[tt]:\n",
    "        tractUse[t] += tractPop[tt]/avgDistrictPop\n",
    "    tractUse[partialTractNo[tt]] -= (1. - partialTractUse[tt])*tractPop[tt]/avgDistrictPop\n",
    "print(\"all done computing tract usages.  Cold re-start complete\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "2fd85a59-2395-40db-829f-65b36501944a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and plot the tract usage distro\n",
      "1.0 0.21141 = avg,std dev of TRACT usage.  Here is its weighted histogram\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"and plot the tract usage distro\")\n",
    "n_bins=50\n",
    "avgTractUse = 0.\n",
    "statePop = np.sum(tractPop)\n",
    "for t in range(nTracts):\n",
    "    avgTractUse += tractUse[t] * tractPop[t]/np.sum(tractPop)\n",
    "sumVarTractUse = 0.\n",
    "for t in range(nTracts):\n",
    "    sumVarTractUse += (tractUse[t]-avgTractUse)**2 * tractPop[t]/np.sum(tractPop)\n",
    "sdTractUse = sumVarTractUse ** 0.5\n",
    "print(r3(avgTractUse),r5(sdTractUse),\"= avg,std dev of TRACT usage.  Here is its weighted histogram\")\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "# We can set the number of bins with the *bins* keyword argument.\n",
    "ax.hist(tractUse, bins=n_bins, weights=tractPop)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "cc20d967-db76-44fd-a19e-51d3e52f71b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we visualize under-used (black) and over-used (red) tracts. minUse and maxUse for plotting are 0.7 1.6\n",
      "We do not plot tracts with usage between 0.9 and 1.1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 135 used < 0.7 and 113 used more than 1.6\n"
     ]
    }
   ],
   "source": [
    "\n",
    "minUse = 0.7\n",
    "maxUse = 1.6\n",
    "minNoPlot = 0.9\n",
    "maxNoPlot = 1.1\n",
    "print(\"Here we visualize under-used (black) and over-used (red) tracts. minUse and maxUse for plotting are\",minUse, maxUse)\n",
    "print(\"We do not plot tracts with usage between\",minNoPlot,\"and\",maxNoPlot)\n",
    "for t in range(nTracts):\n",
    "    if tractUse[t] < minNoPlot:\n",
    "        redd = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        gren = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        bluu = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        GEOM = tractGeom[t]\n",
    "        if GEOM.type == Polygon([Point(0,0),Point(1,0), Point(1,1)]).type :\n",
    "            EXTERIOR = GEOM.exterior\n",
    "            x,y = EXTERIOR.xy\n",
    "            plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "        else:\n",
    "            for geom in GEOM.geoms:\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.fill(x,y,facecolor=(redd,gren,bluu) )\n",
    "    if tractUse[t] > maxNoPlot:\n",
    "        redd = 1\n",
    "        gren = min(1, max( 0, (maxUse - tractUse[t] )/(maxUse - maxNoPlot) ) )\n",
    "        bluu = min(1, max( 0, (maxUse - tractUse[t] )/(maxUse - maxNoPlot) ) )\n",
    "        GEOM = tractGeom[t]\n",
    "        if GEOM.type == Polygon([Point(0,0),Point(1,0), Point(1,1)]).type :\n",
    "            EXTERIOR = GEOM.exterior\n",
    "            x,y = EXTERIOR.xy            \n",
    "            plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "        else:\n",
    "            for geom in GEOM.geoms:\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "MAPboundary = Polygon([Point(-109,37),Point(-102.06,37),Point(-102.06,41),Point(-109,41)])\n",
    "MAPboundary = MAPboundary.buffer(0.01)\n",
    "plotPoly(MAPboundary)\n",
    "plt.show()\n",
    "nWayOverusedTracts = 0\n",
    "nWayUnderusedTracts = 0\n",
    "for t in range(nTracts):\n",
    "    if tractUse[t] < minUse:\n",
    "        nWayUnderusedTracts +=1\n",
    "    if tractUse[t] > maxUse:\n",
    "        nWayOverusedTracts +=1\n",
    "print(\"there are a total of\",nWayUnderusedTracts,\"used <\",minUse,\"and\",nWayOverusedTracts,\"used more than\",maxUse)        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b56da923-46e2-42cd-9cfd-b9caa4d4200c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8044167064735105 2.1504951578827765\n"
     ]
    }
   ],
   "source": [
    "maxT = tractUse.index(np.max(tractUse))\n",
    "NLIST = neighborList[maxT]\n",
    "boundaryUse = 0.\n",
    "for t in range(nTracts):\n",
    "    isBoundary = \"no\"\n",
    "    if maxT in HDtractList[t]:\n",
    "        for n in NLIST:\n",
    "            if n not in HDtractList[t]:\n",
    "                isBoundary = \"yes\"\n",
    "    if isBoundary == \"yes\":\n",
    "        plotPoly(tractGeom[t])\n",
    "        frac = 1.\n",
    "        if partialTractNo[t] == maxT:\n",
    "            frac = partialTractUse[t]\n",
    "        boundaryUse += frac * tractPop[t]/avgDistrictPop\n",
    "plt.show()\n",
    "print(boundaryUse, tractUse[maxT])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d731d30f-9dbb-4a26-b789-a5b3f117e284",
   "metadata": {},
   "outputs": [],
   "source": [
    "def getFrac(t,partialNo, partialUse):\n",
    "    frac = 1.\n",
    "    if partialNo == t:\n",
    "        frac = partialUse\n",
    "    result = frac \n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8022b71f-696d-4a27-ba5f-14db4f326762",
   "metadata": {},
   "outputs": [],
   "source": [
    "#BELOW CODE IS FOR REDUCING TRACT OVERUSE.  COULD ALSO DEVELOP A CODE FOR INCREASING TRACT USE FOR UNDERUSED TRACTS\n",
    "#see vtdCO for latest approach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "7ae7837d-2a11-4d4c-9cd4-504d2c748625",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block aims to narrow the breadth of the precinct usage distribution\n",
      "the most overused tract 1740 with pop 310 and usage 2.1504951578827765\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 42142.0 OUT and t0 usage now 2.137 1.372\n",
      "all done exchanging OUTs for UUTs for tract 987 . Total popGained = 26249.0 OUT and t0 usage now 2.125 1.372\n",
      "all done exchanging OUTs for UUTs for tract 990 . Total popGained = 27105.0 OUT and t0 usage now 2.114 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2276 . Total popGained = 26115.0 OUT and t0 usage now 2.104 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2263 . Total popGained = 25849.0 OUT and t0 usage now 2.097 1.372\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 41896.0 OUT and t0 usage now 2.085 1.372\n",
      "all done exchanging OUTs for UUTs for tract 779 . Total popGained = 42350.0 OUT and t0 usage now 2.075 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 43077.0 OUT and t0 usage now 2.065 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 42415.0 OUT and t0 usage now 2.05 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 43894.0 OUT and t0 usage now 2.038 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 42204.0 OUT and t0 usage now 2.018 1.372\n",
      "all done exchanging OUTs for UUTs for tract 805 . Total popGained = 41711.0 OUT and t0 usage now 1.999 1.372\n",
      "all done exchanging OUTs for UUTs for tract 782 . Total popGained = 40860.0 OUT and t0 usage now 1.975 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 42205.0 OUT and t0 usage now 1.953 1.372\n",
      "all done exchanging OUTs for UUTs for tract 788 . Total popGained = 41842.0 OUT and t0 usage now 1.932 1.372\n",
      "all done exchanging OUTs for UUTs for tract 667 . Total popGained = 37942.0 OUT and t0 usage now 1.914 1.372\n",
      "all done exchanging OUTs for UUTs for tract 89 . Total popGained = 32144.0 OUT and t0 usage now 1.897 1.372\n",
      "all done exchanging OUTs for UUTs for tract 794 . Total popGained = 39830.0 OUT and t0 usage now 1.883 1.372\n",
      "all done exchanging OUTs for UUTs for tract 674 . Total popGained = 38085.0 OUT and t0 usage now 1.868 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2305 . Total popGained = 26407.0 OUT and t0 usage now 1.857 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2325 . Total popGained = 27340.0 OUT and t0 usage now 1.848 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2288 . Total popGained = 35708.0 OUT and t0 usage now 1.838 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2302 . Total popGained = 36465.0 OUT and t0 usage now 1.828 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2347 . Total popGained = 33739.0 OUT and t0 usage now 1.821 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2351 . Total popGained = 36906.0 OUT and t0 usage now 1.812 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2379 . Total popGained = 36719.0 OUT and t0 usage now 1.805 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2369 . Total popGained = 33740.0 OUT and t0 usage now 1.795 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2360 . Total popGained = 26846.0 OUT and t0 usage now 1.789 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2358 . Total popGained = 34671.0 OUT and t0 usage now 1.782 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2333 . Total popGained = 35321.0 OUT and t0 usage now 1.773 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2353 . Total popGained = 33947.0 OUT and t0 usage now 1.765 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2329 . Total popGained = 36012.0 OUT and t0 usage now 1.754 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2389 . Total popGained = 34524.0 OUT and t0 usage now 1.747 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2371 . Total popGained = 34105.0 OUT and t0 usage now 1.739 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2298 . Total popGained = 20574.0 OUT and t0 usage now 1.728 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2315 . Total popGained = 34487.0 OUT and t0 usage now 1.718 1.372\n",
      "all done exchanging OUTs for UUTs for tract 68 . Total popGained = 34554.0 OUT and t0 usage now 1.707 1.372\n",
      "all done exchanging OUTs for UUTs for tract 70 . Total popGained = 26758.0 OUT and t0 usage now 1.7 1.372\n",
      "all done exchanging OUTs for UUTs for tract 28 . Total popGained = 35164.0 OUT and t0 usage now 1.686 1.372\n",
      "all done exchanging OUTs for UUTs for tract 661 . Total popGained = 34804.0 OUT and t0 usage now 1.677 1.372\n",
      "all done exchanging OUTs for UUTs for tract 27 . Total popGained = 33386.0 OUT and t0 usage now 1.666 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1694 . Total popGained = 33868.0 OUT and t0 usage now 1.653 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2308 . Total popGained = 34107.0 OUT and t0 usage now 1.642 1.372\n",
      "all done exchanging OUTs for UUTs for tract 652 . Total popGained = 34672.0 OUT and t0 usage now 1.629 1.372\n",
      "all done exchanging OUTs for UUTs for tract 658 . Total popGained = 35448.0 OUT and t0 usage now 1.616 1.372\n",
      "all done exchanging OUTs for UUTs for tract 818 . Total popGained = 26234.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1687 . Total popGained = 33042.0 OUT and t0 usage now 1.588 1.372\n",
      "all done exchanging OUTs for UUTs for tract 761 . Total popGained = 21625.0 OUT and t0 usage now 1.577 1.372\n",
      "all done exchanging OUTs for UUTs for tract 651 . Total popGained = 34156.0 OUT and t0 usage now 1.563 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1156 . Total popGained = 16374.0 OUT and t0 usage now 1.528 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1096 . Total popGained = 26189.0 OUT and t0 usage now 1.513 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1038 . Total popGained = 23424.0 OUT and t0 usage now 1.502 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1170 . Total popGained = 23274.0 OUT and t0 usage now 1.49 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1168 . Total popGained = 22868.0 OUT and t0 usage now 1.478 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1175 . Total popGained = 22741.0 OUT and t0 usage now 1.464 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1176 . Total popGained = 22741.0 OUT and t0 usage now 1.452 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1179 . Total popGained = 23445.0 OUT and t0 usage now 1.437 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1061 . Total popGained = 23874.0 OUT and t0 usage now 1.425 1.372\n",
      "all done exchanging OUTs for UUTs for tract 97 . Total popGained = 29816.0 OUT and t0 usage now 1.413 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1092 . Total popGained = 25674.0 OUT and t0 usage now 1.4 1.372\n",
      "we have now reduced 1740 usage to 1.3984066408554345 . Time for next OUT\n",
      "the most overused tract 209 with pop 1206 and usage 2.078252623353342\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 15663.0 OUT and t0 usage now 2.067 1.372\n",
      "all done exchanging OUTs for UUTs for tract 987 . Total popGained = 8602.0 OUT and t0 usage now 2.055 1.372\n",
      "all done exchanging OUTs for UUTs for tract 990 . Total popGained = 10670.0 OUT and t0 usage now 2.046 1.372\n",
      "all done exchanging OUTs for UUTs for tract 777 . Total popGained = 15085.0 OUT and t0 usage now 2.038 1.372\n",
      "all done exchanging OUTs for UUTs for tract 808 . Total popGained = 15392.0 OUT and t0 usage now 2.027 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2273 . Total popGained = 16556.0 OUT and t0 usage now 2.02 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2280 . Total popGained = 11827.0 OUT and t0 usage now 2.01 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2262 . Total popGained = 17220.0 OUT and t0 usage now 1.996 1.372\n",
      "all done exchanging OUTs for UUTs for tract 268 . Total popGained = 6224.0 OUT and t0 usage now 1.984 1.372\n",
      "all done exchanging OUTs for UUTs for tract 812 . Total popGained = 16999.0 OUT and t0 usage now 1.971 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 15263.0 OUT and t0 usage now 1.958 1.372\n",
      "all done exchanging OUTs for UUTs for tract 810 . Total popGained = 15205.0 OUT and t0 usage now 1.946 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2255 . Total popGained = 17968.0 OUT and t0 usage now 1.933 1.372\n",
      "all done exchanging OUTs for UUTs for tract 801 . Total popGained = 15796.0 OUT and t0 usage now 1.924 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2256 . Total popGained = 15079.0 OUT and t0 usage now 1.903 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2258 . Total popGained = 11735.0 OUT and t0 usage now 1.886 1.372\n",
      "all done exchanging OUTs for UUTs for tract 782 . Total popGained = 16159.0 OUT and t0 usage now 1.862 1.372\n",
      "all done exchanging OUTs for UUTs for tract 793 . Total popGained = 16250.0 OUT and t0 usage now 1.84 1.372\n",
      "all done exchanging OUTs for UUTs for tract 788 . Total popGained = 15084.0 OUT and t0 usage now 1.819 1.372\n",
      "all done exchanging OUTs for UUTs for tract 770 . Total popGained = 15952.0 OUT and t0 usage now 1.801 1.372\n",
      "all done exchanging OUTs for UUTs for tract 769 . Total popGained = 15904.0 OUT and t0 usage now 1.779 1.372\n",
      "all done exchanging OUTs for UUTs for tract 86 . Total popGained = 14995.0 OUT and t0 usage now 1.767 1.372\n",
      "all done exchanging OUTs for UUTs for tract 958 . Total popGained = 15731.0 OUT and t0 usage now 1.758 1.372\n",
      "all done exchanging OUTs for UUTs for tract 88 . Total popGained = 6279.0 OUT and t0 usage now 1.748 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1933 . Total popGained = 15728.0 OUT and t0 usage now 1.739 1.372\n",
      "all done exchanging OUTs for UUTs for tract 17 . Total popGained = 16587.0 OUT and t0 usage now 1.73 1.372\n",
      "all done exchanging OUTs for UUTs for tract 771 . Total popGained = 15372.0 OUT and t0 usage now 1.72 1.372\n",
      "all done exchanging OUTs for UUTs for tract 657 . Total popGained = 15044.0 OUT and t0 usage now 1.711 1.372\n",
      "all done exchanging OUTs for UUTs for tract 673 . Total popGained = 11868.0 OUT and t0 usage now 1.698 1.372\n",
      "all done exchanging OUTs for UUTs for tract 664 . Total popGained = 16415.0 OUT and t0 usage now 1.686 1.372\n",
      "all done exchanging OUTs for UUTs for tract 653 . Total popGained = 15030.0 OUT and t0 usage now 1.674 1.372\n",
      "all done exchanging OUTs for UUTs for tract 658 . Total popGained = 14822.0 OUT and t0 usage now 1.661 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2321 . Total popGained = 20760.0 OUT and t0 usage now 1.651 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2299 . Total popGained = 16313.0 OUT and t0 usage now 1.642 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2300 . Total popGained = 16643.0 OUT and t0 usage now 1.633 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2340 . Total popGained = 14292.0 OUT and t0 usage now 1.621 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2322 . Total popGained = 8404.0 OUT and t0 usage now 1.612 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2289 . Total popGained = 15365.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2374 . Total popGained = 15877.0 OUT and t0 usage now 1.593 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2373 . Total popGained = 11244.0 OUT and t0 usage now 1.585 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2365 . Total popGained = 15022.0 OUT and t0 usage now 1.578 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2336 . Total popGained = 17130.0 OUT and t0 usage now 1.568 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2362 . Total popGained = 15786.0 OUT and t0 usage now 1.558 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2335 . Total popGained = 14259.0 OUT and t0 usage now 1.551 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2359 . Total popGained = 14362.0 OUT and t0 usage now 1.544 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2291 . Total popGained = 12969.0 OUT and t0 usage now 1.534 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 16033.0 OUT and t0 usage now 1.528 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2355 . Total popGained = 16410.0 OUT and t0 usage now 1.517 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2389 . Total popGained = 15976.0 OUT and t0 usage now 1.508 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2328 . Total popGained = 13897.0 OUT and t0 usage now 1.501 1.372\n",
      "all done exchanging OUTs for UUTs for tract 41 . Total popGained = 22614.0 OUT and t0 usage now 1.486 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2296 . Total popGained = 14807.0 OUT and t0 usage now 1.475 1.372\n",
      "all done exchanging OUTs for UUTs for tract 672 . Total popGained = 24900.0 OUT and t0 usage now 1.465 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2310 . Total popGained = 12754.0 OUT and t0 usage now 1.454 1.372\n",
      "all done exchanging OUTs for UUTs for tract 772 . Total popGained = 25875.0 OUT and t0 usage now 1.438 1.372\n",
      "all done exchanging OUTs for UUTs for tract 29 . Total popGained = 13661.0 OUT and t0 usage now 1.428 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1828 . Total popGained = 25151.0 OUT and t0 usage now 1.416 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2308 . Total popGained = 16273.0 OUT and t0 usage now 1.406 1.372\n",
      "we have now reduced 209 usage to 1.3964224760699968 . Time for next OUT\n",
      "the most overused tract 285 with pop 2053 and usage 1.997268645382943\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 6436.0 OUT and t0 usage now 1.986 1.372\n",
      "all done exchanging OUTs for UUTs for tract 90 . Total popGained = 6900.0 OUT and t0 usage now 1.977 1.372\n",
      "all done exchanging OUTs for UUTs for tract 668 . Total popGained = 5937.0 OUT and t0 usage now 1.968 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2268 . Total popGained = 1989.0 OUT and t0 usage now 1.96 1.372\n",
      "all done exchanging OUTs for UUTs for tract 85 . Total popGained = 7037.0 OUT and t0 usage now 1.95 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2257 . Total popGained = 1293.0 OUT and t0 usage now 1.938 1.372\n",
      "all done exchanging OUTs for UUTs for tract 669 . Total popGained = 7581.0 OUT and t0 usage now 1.925 1.372\n",
      "all done exchanging OUTs for UUTs for tract 810 . Total popGained = 5884.0 OUT and t0 usage now 1.912 1.372\n",
      "all done exchanging OUTs for UUTs for tract 801 . Total popGained = 8682.0 OUT and t0 usage now 1.899 1.372\n",
      "all done exchanging OUTs for UUTs for tract 796 . Total popGained = 6177.0 OUT and t0 usage now 1.88 1.372\n",
      "all done exchanging OUTs for UUTs for tract 785 . Total popGained = 6057.0 OUT and t0 usage now 1.857 1.372\n",
      "all done exchanging OUTs for UUTs for tract 784 . Total popGained = 6192.0 OUT and t0 usage now 1.83 1.372\n",
      "all done exchanging OUTs for UUTs for tract 786 . Total popGained = 6149.0 OUT and t0 usage now 1.811 1.372\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "all done exchanging OUTs for UUTs for tract 770 . Total popGained = 6569.0 OUT and t0 usage now 1.787 1.372\n",
      "all done exchanging OUTs for UUTs for tract 769 . Total popGained = 7330.0 OUT and t0 usage now 1.765 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1104 . Total popGained = 7424.0 OUT and t0 usage now 1.755 1.372\n",
      "all done exchanging OUTs for UUTs for tract 953 . Total popGained = 6151.0 OUT and t0 usage now 1.743 1.372\n",
      "all done exchanging OUTs for UUTs for tract 25 . Total popGained = 5225.0 OUT and t0 usage now 1.735 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1691 . Total popGained = 7037.0 OUT and t0 usage now 1.727 1.372\n",
      "all done exchanging OUTs for UUTs for tract 661 . Total popGained = 8291.0 OUT and t0 usage now 1.716 1.372\n",
      "all done exchanging OUTs for UUTs for tract 660 . Total popGained = 6164.0 OUT and t0 usage now 1.703 1.372\n",
      "all done exchanging OUTs for UUTs for tract 664 . Total popGained = 6910.0 OUT and t0 usage now 1.694 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1684 . Total popGained = 7388.0 OUT and t0 usage now 1.681 1.372\n",
      "all done exchanging OUTs for UUTs for tract 650 . Total popGained = 7316.0 OUT and t0 usage now 1.669 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1685 . Total popGained = 6701.0 OUT and t0 usage now 1.659 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1690 . Total popGained = 5448.0 OUT and t0 usage now 1.646 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1686 . Total popGained = 7165.0 OUT and t0 usage now 1.634 1.372\n",
      "all done exchanging OUTs for UUTs for tract 100 . Total popGained = 7052.0 OUT and t0 usage now 1.625 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2346 . Total popGained = 8563.0 OUT and t0 usage now 1.615 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2324 . Total popGained = 4688.0 OUT and t0 usage now 1.606 1.372\n",
      "all done exchanging OUTs for UUTs for tract 101 . Total popGained = 6638.0 OUT and t0 usage now 1.598 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1689 . Total popGained = 4791.0 OUT and t0 usage now 1.589 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2383 . Total popGained = 2041.0 OUT and t0 usage now 1.58 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2336 . Total popGained = 5667.0 OUT and t0 usage now 1.572 1.372\n",
      "all done exchanging OUTs for UUTs for tract 672 . Total popGained = 6815.0 OUT and t0 usage now 1.564 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2362 . Total popGained = 4683.0 OUT and t0 usage now 1.554 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2363 . Total popGained = 5482.0 OUT and t0 usage now 1.548 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2333 . Total popGained = 5195.0 OUT and t0 usage now 1.54 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2345 . Total popGained = 7016.0 OUT and t0 usage now 1.53 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2329 . Total popGained = 5235.0 OUT and t0 usage now 1.522 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2389 . Total popGained = 5480.0 OUT and t0 usage now 1.513 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2328 . Total popGained = 1560.0 OUT and t0 usage now 1.507 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2301 . Total popGained = 5074.0 OUT and t0 usage now 1.493 1.372\n",
      "all done exchanging OUTs for UUTs for tract 772 . Total popGained = 6676.0 OUT and t0 usage now 1.482 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2294 . Total popGained = 4860.0 OUT and t0 usage now 1.468 1.372\n",
      "all done exchanging OUTs for UUTs for tract 30 . Total popGained = 4992.0 OUT and t0 usage now 1.456 1.372\n",
      "all done exchanging OUTs for UUTs for tract 29 . Total popGained = 1748.0 OUT and t0 usage now 1.446 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1700 . Total popGained = 17040.0 OUT and t0 usage now 1.435 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1831 . Total popGained = 6722.0 OUT and t0 usage now 1.425 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1832 . Total popGained = 16815.0 OUT and t0 usage now 1.407 1.372\n",
      "we have now reduced 285 usage to 1.3992961895930434 . Time for next OUT\n",
      "the most overused tract 1749 with pop 3232 and usage 1.9942532692859403\n",
      "all done exchanging OUTs for UUTs for tract 268 . Total popGained = 12159.0 OUT and t0 usage now 1.983 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2041 . Total popGained = 14719.0 OUT and t0 usage now 1.971 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2260 . Total popGained = 15343.0 OUT and t0 usage now 1.967 1.372\n",
      "all done exchanging OUTs for UUTs for tract 808 . Total popGained = 15223.0 OUT and t0 usage now 1.955 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2300 . Total popGained = 15416.0 OUT and t0 usage now 1.95 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2318 . Total popGained = 16025.0 OUT and t0 usage now 1.944 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2386 . Total popGained = 16898.0 OUT and t0 usage now 1.935 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2374 . Total popGained = 17727.0 OUT and t0 usage now 1.926 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2373 . Total popGained = 15077.0 OUT and t0 usage now 1.918 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2365 . Total popGained = 14792.0 OUT and t0 usage now 1.91 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2330 . Total popGained = 15285.0 OUT and t0 usage now 1.901 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2368 . Total popGained = 21289.0 OUT and t0 usage now 1.893 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2360 . Total popGained = 14234.0 OUT and t0 usage now 1.884 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2359 . Total popGained = 12743.0 OUT and t0 usage now 1.876 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2367 . Total popGained = 15954.0 OUT and t0 usage now 1.866 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 12886.0 OUT and t0 usage now 1.859 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2355 . Total popGained = 15093.0 OUT and t0 usage now 1.849 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2293 . Total popGained = 14405.0 OUT and t0 usage now 1.841 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2328 . Total popGained = 13133.0 OUT and t0 usage now 1.831 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 16227.0 OUT and t0 usage now 1.817 1.372\n",
      "all done exchanging OUTs for UUTs for tract 810 . Total popGained = 15421.0 OUT and t0 usage now 1.806 1.372\n",
      "all done exchanging OUTs for UUTs for tract 802 . Total popGained = 16628.0 OUT and t0 usage now 1.797 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2294 . Total popGained = 13982.0 OUT and t0 usage now 1.786 1.372\n",
      "all done exchanging OUTs for UUTs for tract 773 . Total popGained = 14439.0 OUT and t0 usage now 1.769 1.372\n",
      "all done exchanging OUTs for UUTs for tract 807 . Total popGained = 15182.0 OUT and t0 usage now 1.756 1.372\n",
      "all done exchanging OUTs for UUTs for tract 796 . Total popGained = 14573.0 OUT and t0 usage now 1.744 1.372\n",
      "all done exchanging OUTs for UUTs for tract 814 . Total popGained = 15601.0 OUT and t0 usage now 1.719 1.372\n",
      "all done exchanging OUTs for UUTs for tract 781 . Total popGained = 14863.0 OUT and t0 usage now 1.701 1.372\n",
      "all done exchanging OUTs for UUTs for tract 955 . Total popGained = 14535.0 OUT and t0 usage now 1.678 1.372\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "all done exchanging OUTs for UUTs for tract 790 . Total popGained = 15191.0 OUT and t0 usage now 1.655 1.372\n",
      "all done exchanging OUTs for UUTs for tract 956 . Total popGained = 14767.0 OUT and t0 usage now 1.639 1.372\n",
      "all done exchanging OUTs for UUTs for tract 769 . Total popGained = 14363.0 OUT and t0 usage now 1.614 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1838 . Total popGained = 14551.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 854 . Total popGained = 23152.0 OUT and t0 usage now 1.592 1.372\n",
      "all done exchanging OUTs for UUTs for tract 765 . Total popGained = 14112.0 OUT and t0 usage now 1.58 1.372\n",
      "all done exchanging OUTs for UUTs for tract 661 . Total popGained = 8787.0 OUT and t0 usage now 1.57 1.372\n",
      "all done exchanging OUTs for UUTs for tract 763 . Total popGained = 21549.0 OUT and t0 usage now 1.561 1.372\n",
      "all done exchanging OUTs for UUTs for tract 817 . Total popGained = 18268.0 OUT and t0 usage now 1.546 1.372\n",
      "all done exchanging OUTs for UUTs for tract 659 . Total popGained = 14902.0 OUT and t0 usage now 1.531 1.372\n",
      "all done exchanging OUTs for UUTs for tract 664 . Total popGained = 14595.0 OUT and t0 usage now 1.517 1.372\n",
      "all done exchanging OUTs for UUTs for tract 666 . Total popGained = 14671.0 OUT and t0 usage now 1.503 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2784 . Total popGained = 17789.0 OUT and t0 usage now 1.489 1.372\n",
      "all done exchanging OUTs for UUTs for tract 653 . Total popGained = 14481.0 OUT and t0 usage now 1.477 1.372\n",
      "all done exchanging OUTs for UUTs for tract 658 . Total popGained = 13434.0 OUT and t0 usage now 1.459 1.372\n",
      "all done exchanging OUTs for UUTs for tract 737 . Total popGained = 16520.0 OUT and t0 usage now 1.445 1.372\n",
      "all done exchanging OUTs for UUTs for tract 752 . Total popGained = 14806.0 OUT and t0 usage now 1.436 1.372\n",
      "all done exchanging OUTs for UUTs for tract 748 . Total popGained = 16133.0 OUT and t0 usage now 1.417 1.372\n",
      "all done exchanging OUTs for UUTs for tract 738 . Total popGained = 16531.0 OUT and t0 usage now 1.407 1.372\n",
      "we have now reduced 1749 usage to 1.3994804730542583 . Time for next OUT\n",
      "the most overused tract 296 with pop 1066 and usage 1.990817002712639\n",
      "all done exchanging OUTs for UUTs for tract 2039 . Total popGained = 12603.0 OUT and t0 usage now 1.979 1.372\n",
      "all done exchanging OUTs for UUTs for tract 90 . Total popGained = 12486.0 OUT and t0 usage now 1.971 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2260 . Total popGained = 5559.0 OUT and t0 usage now 1.964 1.372\n",
      "all done exchanging OUTs for UUTs for tract 779 . Total popGained = 13459.0 OUT and t0 usage now 1.953 1.372\n",
      "all done exchanging OUTs for UUTs for tract 670 . Total popGained = 12741.0 OUT and t0 usage now 1.947 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 14194.0 OUT and t0 usage now 1.93 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 13022.0 OUT and t0 usage now 1.918 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 13826.0 OUT and t0 usage now 1.898 1.372\n",
      "all done exchanging OUTs for UUTs for tract 813 . Total popGained = 13105.0 OUT and t0 usage now 1.884 1.372\n",
      "all done exchanging OUTs for UUTs for tract 814 . Total popGained = 12452.0 OUT and t0 usage now 1.86 1.372\n",
      "all done exchanging OUTs for UUTs for tract 806 . Total popGained = 13511.0 OUT and t0 usage now 1.836 1.372\n",
      "all done exchanging OUTs for UUTs for tract 89 . Total popGained = 9350.0 OUT and t0 usage now 1.821 1.372\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "all done exchanging OUTs for UUTs for tract 770 . Total popGained = 14110.0 OUT and t0 usage now 1.797 1.372\n",
      "all done exchanging OUTs for UUTs for tract 769 . Total popGained = 12808.0 OUT and t0 usage now 1.772 1.372\n",
      "all done exchanging OUTs for UUTs for tract 957 . Total popGained = 12506.0 OUT and t0 usage now 1.756 1.372\n",
      "all done exchanging OUTs for UUTs for tract 953 . Total popGained = 13699.0 OUT and t0 usage now 1.746 1.372\n",
      "all done exchanging OUTs for UUTs for tract 663 . Total popGained = 14109.0 OUT and t0 usage now 1.737 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1692 . Total popGained = 12463.0 OUT and t0 usage now 1.726 1.372\n",
      "all done exchanging OUTs for UUTs for tract 67 . Total popGained = 9110.0 OUT and t0 usage now 1.716 1.372\n",
      "all done exchanging OUTs for UUTs for tract 649 . Total popGained = 13240.0 OUT and t0 usage now 1.705 1.372\n",
      "all done exchanging OUTs for UUTs for tract 653 . Total popGained = 12467.0 OUT and t0 usage now 1.692 1.372\n",
      "all done exchanging OUTs for UUTs for tract 20 . Total popGained = 9017.0 OUT and t0 usage now 1.681 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1683 . Total popGained = 17423.0 OUT and t0 usage now 1.671 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2346 . Total popGained = 4614.0 OUT and t0 usage now 1.658 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2377 . Total popGained = 0.0 OUT and t0 usage now 1.649 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2365 . Total popGained = 0.0 OUT and t0 usage now 1.641 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2352 . Total popGained = 5206.0 OUT and t0 usage now 1.632 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2368 . Total popGained = 7544.0 OUT and t0 usage now 1.624 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2353 . Total popGained = 0.0 OUT and t0 usage now 1.614 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1839 . Total popGained = 18694.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 672 . Total popGained = 21712.0 OUT and t0 usage now 1.592 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2308 . Total popGained = 0.0 OUT and t0 usage now 1.578 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1699 . Total popGained = 24901.0 OUT and t0 usage now 1.565 1.372\n",
      "all done exchanging OUTs for UUTs for tract 97 . Total popGained = 16767.0 OUT and t0 usage now 1.553 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1700 . Total popGained = 25348.0 OUT and t0 usage now 1.544 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1828 . Total popGained = 24955.0 OUT and t0 usage now 1.531 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2656 . Total popGained = 16269.0 OUT and t0 usage now 1.497 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2907 . Total popGained = 21687.0 OUT and t0 usage now 1.48 1.372\n",
      "all done exchanging OUTs for UUTs for tract 244 . Total popGained = 27963.0 OUT and t0 usage now 1.466 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2830 . Total popGained = 11265.0 OUT and t0 usage now 1.45 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1833 . Total popGained = 25926.0 OUT and t0 usage now 1.441 1.372\n",
      "all done exchanging OUTs for UUTs for tract 246 . Total popGained = 25790.0 OUT and t0 usage now 1.426 1.372\n",
      "all done exchanging OUTs for UUTs for tract 818 . Total popGained = 11483.0 OUT and t0 usage now 1.413 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1239 . Total popGained = 9098.0 OUT and t0 usage now 1.402 1.372\n",
      "we have now reduced 296 usage to 1.3932176065527315 . Time for next OUT\n",
      "the most overused tract 743 with pop 769 and usage 1.9684506640529535\n",
      "all done exchanging OUTs for UUTs for tract 988 . Total popGained = 44167.0 OUT and t0 usage now 1.961 1.372\n",
      "all done exchanging OUTs for UUTs for tract 90 . Total popGained = 17706.0 OUT and t0 usage now 1.955 1.372\n",
      "all done exchanging OUTs for UUTs for tract 982 . Total popGained = 18694.0 OUT and t0 usage now 1.941 1.372\n",
      "all done exchanging OUTs for UUTs for tract 812 . Total popGained = 16370.0 OUT and t0 usage now 1.924 1.372\n",
      "all done exchanging OUTs for UUTs for tract 804 . Total popGained = 16488.0 OUT and t0 usage now 1.909 1.372\n",
      "all done exchanging OUTs for UUTs for tract 799 . Total popGained = 16748.0 OUT and t0 usage now 1.9 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 16880.0 OUT and t0 usage now 1.889 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1838 . Total popGained = 15872.0 OUT and t0 usage now 1.871 1.372\n",
      "all done exchanging OUTs for UUTs for tract 791 . Total popGained = 35730.0 OUT and t0 usage now 1.845 1.372\n",
      "all done exchanging OUTs for UUTs for tract 92 . Total popGained = 27621.0 OUT and t0 usage now 1.825 1.372\n",
      "all done exchanging OUTs for UUTs for tract 793 . Total popGained = 16210.0 OUT and t0 usage now 1.802 1.372\n",
      "all done exchanging OUTs for UUTs for tract 961 . Total popGained = 17122.0 OUT and t0 usage now 1.781 1.372\n",
      "all done exchanging OUTs for UUTs for tract 956 . Total popGained = 44762.0 OUT and t0 usage now 1.763 1.372\n",
      "all done exchanging OUTs for UUTs for tract 957 . Total popGained = 16062.0 OUT and t0 usage now 1.748 1.372\n",
      "all done exchanging OUTs for UUTs for tract 97 . Total popGained = 27948.0 OUT and t0 usage now 1.737 1.372\n",
      "all done exchanging OUTs for UUTs for tract 93 . Total popGained = 25103.0 OUT and t0 usage now 1.729 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2274 . Total popGained = 42571.0 OUT and t0 usage now 1.721 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2267 . Total popGained = 42523.0 OUT and t0 usage now 1.708 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2280 . Total popGained = 42584.0 OUT and t0 usage now 1.694 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2278 . Total popGained = 42266.0 OUT and t0 usage now 1.682 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2269 . Total popGained = 43531.0 OUT and t0 usage now 1.673 1.372\n",
      "all done exchanging OUTs for UUTs for tract 86 . Total popGained = 21814.0 OUT and t0 usage now 1.663 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2261 . Total popGained = 36735.0 OUT and t0 usage now 1.65 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1694 . Total popGained = 15530.0 OUT and t0 usage now 1.637 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2255 . Total popGained = 40006.0 OUT and t0 usage now 1.623 1.372\n",
      "all done exchanging OUTs for UUTs for tract 89 . Total popGained = 20740.0 OUT and t0 usage now 1.611 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2258 . Total popGained = 40033.0 OUT and t0 usage now 1.598 1.372\n",
      "all done exchanging OUTs for UUTs for tract 88 . Total popGained = 40519.0 OUT and t0 usage now 1.581 1.372\n",
      "all done exchanging OUTs for UUTs for tract 660 . Total popGained = 31568.0 OUT and t0 usage now 1.571 1.372\n",
      "all done exchanging OUTs for UUTs for tract 271 . Total popGained = 34596.0 OUT and t0 usage now 1.561 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1831 . Total popGained = 16582.0 OUT and t0 usage now 1.551 1.372\n",
      "all done exchanging OUTs for UUTs for tract 649 . Total popGained = 19005.0 OUT and t0 usage now 1.539 1.372\n",
      "all done exchanging OUTs for UUTs for tract 655 . Total popGained = 35709.0 OUT and t0 usage now 1.53 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1832 . Total popGained = 19379.0 OUT and t0 usage now 1.514 1.372\n",
      "all done exchanging OUTs for UUTs for tract 80 . Total popGained = 38860.0 OUT and t0 usage now 1.502 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1700 . Total popGained = 19816.0 OUT and t0 usage now 1.493 1.372\n",
      "all done exchanging OUTs for UUTs for tract 79 . Total popGained = 34624.0 OUT and t0 usage now 1.482 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1820 . Total popGained = 21307.0 OUT and t0 usage now 1.469 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1818 . Total popGained = 22566.0 OUT and t0 usage now 1.456 1.372\n",
      "all done exchanging OUTs for UUTs for tract 252 . Total popGained = 41527.0 OUT and t0 usage now 1.445 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1722 . Total popGained = 20606.0 OUT and t0 usage now 1.432 1.372\n",
      "all done exchanging OUTs for UUTs for tract 278 . Total popGained = 23465.0 OUT and t0 usage now 1.42 1.372\n",
      "all done exchanging OUTs for UUTs for tract 3086 . Total popGained = 34787.0 OUT and t0 usage now 1.415 1.372\n",
      "all done exchanging OUTs for UUTs for tract 159 . Total popGained = 30895.0 OUT and t0 usage now 1.408 1.372\n",
      "we have now reduced 743 usage to 1.3989463830905147 . Time for next OUT\n",
      "the most overused tract 292 with pop 1513 and usage 1.9564613002999478\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 1140.0 OUT and t0 usage now 1.945 1.372\n",
      "all done exchanging OUTs for UUTs for tract 90 . Total popGained = 1254.0 OUT and t0 usage now 1.936 1.372\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 2205.0 OUT and t0 usage now 1.927 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2260 . Total popGained = 1485.0 OUT and t0 usage now 1.918 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 1931.0 OUT and t0 usage now 1.911 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 1084.0 OUT and t0 usage now 1.896 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 3896.0 OUT and t0 usage now 1.884 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 1207.0 OUT and t0 usage now 1.864 1.372\n",
      "all done exchanging OUTs for UUTs for tract 805 . Total popGained = 2253.0 OUT and t0 usage now 1.844 1.372\n",
      "all done exchanging OUTs for UUTs for tract 782 . Total popGained = 1611.0 OUT and t0 usage now 1.821 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 1870.0 OUT and t0 usage now 1.799 1.372\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "all done exchanging OUTs for UUTs for tract 788 . Total popGained = 1115.0 OUT and t0 usage now 1.778 1.372\n",
      "all done exchanging OUTs for UUTs for tract 667 . Total popGained = 1017.0 OUT and t0 usage now 1.76 1.372\n",
      "all done exchanging OUTs for UUTs for tract 769 . Total popGained = 2767.0 OUT and t0 usage now 1.738 1.372\n",
      "all done exchanging OUTs for UUTs for tract 674 . Total popGained = 2154.0 OUT and t0 usage now 1.725 1.372\n",
      "all done exchanging OUTs for UUTs for tract 662 . Total popGained = 1701.0 OUT and t0 usage now 1.713 1.372\n",
      "all done exchanging OUTs for UUTs for tract 675 . Total popGained = 1568.0 OUT and t0 usage now 1.705 1.372\n",
      "all done exchanging OUTs for UUTs for tract 7 . Total popGained = 2367.0 OUT and t0 usage now 1.698 1.372\n",
      "all done exchanging OUTs for UUTs for tract 648 . Total popGained = 1879.0 OUT and t0 usage now 1.685 1.372\n",
      "all done exchanging OUTs for UUTs for tract 664 . Total popGained = 1015.0 OUT and t0 usage now 1.675 1.372\n",
      "all done exchanging OUTs for UUTs for tract 652 . Total popGained = 1255.0 OUT and t0 usage now 1.662 1.372\n",
      "all done exchanging OUTs for UUTs for tract 5 . Total popGained = 2367.0 OUT and t0 usage now 1.652 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1683 . Total popGained = 1443.0 OUT and t0 usage now 1.641 1.372\n",
      "all done exchanging OUTs for UUTs for tract 92 . Total popGained = 2345.0 OUT and t0 usage now 1.628 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2321 . Total popGained = 2355.0 OUT and t0 usage now 1.616 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1686 . Total popGained = 3474.0 OUT and t0 usage now 1.607 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2386 . Total popGained = 3123.0 OUT and t0 usage now 1.595 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2288 . Total popGained = 2814.0 OUT and t0 usage now 1.587 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2303 . Total popGained = 2770.0 OUT and t0 usage now 1.577 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2348 . Total popGained = 2207.0 OUT and t0 usage now 1.569 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2352 . Total popGained = 2292.0 OUT and t0 usage now 1.562 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2368 . Total popGained = 3755.0 OUT and t0 usage now 1.554 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 3118.0 OUT and t0 usage now 1.547 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2349 . Total popGained = 2184.0 OUT and t0 usage now 1.536 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1698 . Total popGained = 1287.0 OUT and t0 usage now 1.523 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1834 . Total popGained = 2098.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 98 . Total popGained = 2108.0 OUT and t0 usage now 1.5 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1837 . Total popGained = 1752.0 OUT and t0 usage now 1.487 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1830 . Total popGained = 1976.0 OUT and t0 usage now 1.476 1.372\n",
      "all done exchanging OUTs for UUTs for tract 40 . Total popGained = 995.0 OUT and t0 usage now 1.464 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1833 . Total popGained = 4372.0 OUT and t0 usage now 1.45 1.372\n",
      "all done exchanging OUTs for UUTs for tract 39 . Total popGained = 11064.0 OUT and t0 usage now 1.42 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2860 . Total popGained = 14002.0 OUT and t0 usage now 1.402 1.372\n",
      "we have now reduced 292 usage to 1.3984329670641824 . Time for next OUT\n",
      "the most overused tract 706 with pop 2524 and usage 1.9232660883323751\n",
      "all done exchanging OUTs for UUTs for tract 981 . Total popGained = 9816.0 OUT and t0 usage now 1.916 1.372\n",
      "all done exchanging OUTs for UUTs for tract 270 . Total popGained = 8585.0 OUT and t0 usage now 1.906 1.372\n",
      "all done exchanging OUTs for UUTs for tract 777 . Total popGained = 7566.0 OUT and t0 usage now 1.895 1.372\n",
      "all done exchanging OUTs for UUTs for tract 808 . Total popGained = 7158.0 OUT and t0 usage now 1.88 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 7084.0 OUT and t0 usage now 1.866 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 7593.0 OUT and t0 usage now 1.853 1.372\n",
      "all done exchanging OUTs for UUTs for tract 800 . Total popGained = 7240.0 OUT and t0 usage now 1.838 1.372\n",
      "all done exchanging OUTs for UUTs for tract 802 . Total popGained = 7307.0 OUT and t0 usage now 1.827 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2042 . Total popGained = 7085.0 OUT and t0 usage now 1.812 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1838 . Total popGained = 8843.0 OUT and t0 usage now 1.799 1.372\n",
      "all done exchanging OUTs for UUTs for tract 791 . Total popGained = 7822.0 OUT and t0 usage now 1.777 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 7323.0 OUT and t0 usage now 1.753 1.372\n",
      "all done exchanging OUTs for UUTs for tract 780 . Total popGained = 7497.0 OUT and t0 usage now 1.735 1.372\n",
      "no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\n",
      "all done exchanging OUTs for UUTs for tract 789 . Total popGained = 7370.0 OUT and t0 usage now 1.715 1.372\n",
      "all done exchanging OUTs for UUTs for tract 770 . Total popGained = 7137.0 OUT and t0 usage now 1.698 1.372\n",
      "all done exchanging OUTs for UUTs for tract 669 . Total popGained = 6821.0 OUT and t0 usage now 1.685 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2276 . Total popGained = 7664.0 OUT and t0 usage now 1.671 1.372\n",
      "all done exchanging OUTs for UUTs for tract 7 . Total popGained = 15449.0 OUT and t0 usage now 1.653 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2278 . Total popGained = 6846.0 OUT and t0 usage now 1.639 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2277 . Total popGained = 7844.0 OUT and t0 usage now 1.627 1.372\n",
      "all done exchanging OUTs for UUTs for tract 794 . Total popGained = 7808.0 OUT and t0 usage now 1.616 1.372\n",
      "all done exchanging OUTs for UUTs for tract 97 . Total popGained = 7347.0 OUT and t0 usage now 1.605 1.372\n",
      "all done exchanging OUTs for UUTs for tract 93 . Total popGained = 6911.0 OUT and t0 usage now 1.597 1.372\n",
      "all done exchanging OUTs for UUTs for tract 77 . Total popGained = 7696.0 OUT and t0 usage now 1.586 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1693 . Total popGained = 7844.0 OUT and t0 usage now 1.573 1.372\n",
      "all done exchanging OUTs for UUTs for tract 25 . Total popGained = 14331.0 OUT and t0 usage now 1.567 1.372\n",
      "all done exchanging OUTs for UUTs for tract 771 . Total popGained = 5018.0 OUT and t0 usage now 1.557 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1691 . Total popGained = 7455.0 OUT and t0 usage now 1.545 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1158 . Total popGained = 7923.0 OUT and t0 usage now 1.535 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1692 . Total popGained = 6968.0 OUT and t0 usage now 1.525 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1152 . Total popGained = 6051.0 OUT and t0 usage now 1.513 1.372\n",
      "all done exchanging OUTs for UUTs for tract 663 . Total popGained = 8316.0 OUT and t0 usage now 1.501 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1801 . Total popGained = 18682.0 OUT and t0 usage now 1.492 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1800 . Total popGained = 12194.0 OUT and t0 usage now 1.481 1.372\n",
      "all done exchanging OUTs for UUTs for tract 69 . Total popGained = 6164.0 OUT and t0 usage now 1.473 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1798 . Total popGained = 14999.0 OUT and t0 usage now 1.463 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1688 . Total popGained = 5609.0 OUT and t0 usage now 1.451 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1685 . Total popGained = 7479.0 OUT and t0 usage now 1.439 1.372\n",
      "all done exchanging OUTs for UUTs for tract 20 . Total popGained = 16685.0 OUT and t0 usage now 1.426 1.372\n",
      "all done exchanging OUTs for UUTs for tract 664 . Total popGained = 6198.0 OUT and t0 usage now 1.413 1.372\n",
      "all done exchanging OUTs for UUTs for tract 650 . Total popGained = 5360.0 OUT and t0 usage now 1.403 1.372\n",
      "we have now reduced 706 usage to 1.3988022252709016 . Time for next OUT\n",
      "the most overused tract 709 with pop 1915 and usage 1.9038324378381053\n",
      "all done exchanging OUTs for UUTs for tract 988 . Total popGained = 4794.0 OUT and t0 usage now 1.895 1.372\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 5937.0 OUT and t0 usage now 1.885 1.372\n",
      "all done exchanging OUTs for UUTs for tract 778 . Total popGained = 4941.0 OUT and t0 usage now 1.876 1.372\n",
      "all done exchanging OUTs for UUTs for tract 984 . Total popGained = 5359.0 OUT and t0 usage now 1.862 1.372\n",
      "all done exchanging OUTs for UUTs for tract 987 . Total popGained = 5313.0 OUT and t0 usage now 1.842 1.372\n",
      "all done exchanging OUTs for UUTs for tract 800 . Total popGained = 7261.0 OUT and t0 usage now 1.831 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 6028.0 OUT and t0 usage now 1.823 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 6136.0 OUT and t0 usage now 1.805 1.372\n",
      "all done exchanging OUTs for UUTs for tract 5 . Total popGained = 5110.0 OUT and t0 usage now 1.786 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 5653.0 OUT and t0 usage now 1.764 1.372\n",
      "all done exchanging OUTs for UUTs for tract 990 . Total popGained = 5783.0 OUT and t0 usage now 1.741 1.372\n",
      "all done exchanging OUTs for UUTs for tract 955 . Total popGained = 5384.0 OUT and t0 usage now 1.722 1.372\n",
      "all done exchanging OUTs for UUTs for tract 770 . Total popGained = 7586.0 OUT and t0 usage now 1.704 1.372\n",
      "all done exchanging OUTs for UUTs for tract 956 . Total popGained = 5056.0 OUT and t0 usage now 1.686 1.372\n",
      "all done exchanging OUTs for UUTs for tract 85 . Total popGained = 5419.0 OUT and t0 usage now 1.67 1.372\n",
      "all done exchanging OUTs for UUTs for tract 794 . Total popGained = 4974.0 OUT and t0 usage now 1.659 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2274 . Total popGained = 5731.0 OUT and t0 usage now 1.653 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2275 . Total popGained = 6734.0 OUT and t0 usage now 1.641 1.372\n",
      "all done exchanging OUTs for UUTs for tract 674 . Total popGained = 5447.0 OUT and t0 usage now 1.627 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2279 . Total popGained = 6244.0 OUT and t0 usage now 1.612 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2263 . Total popGained = 5235.0 OUT and t0 usage now 1.603 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1841 . Total popGained = 6040.0 OUT and t0 usage now 1.589 1.372\n",
      "all done exchanging OUTs for UUTs for tract 667 . Total popGained = 5142.0 OUT and t0 usage now 1.58 1.372\n",
      "all done exchanging OUTs for UUTs for tract 675 . Total popGained = 4823.0 OUT and t0 usage now 1.569 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2254 . Total popGained = 5936.0 OUT and t0 usage now 1.558 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1696 . Total popGained = 6835.0 OUT and t0 usage now 1.548 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1687 . Total popGained = 5372.0 OUT and t0 usage now 1.533 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1683 . Total popGained = 6191.0 OUT and t0 usage now 1.522 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2256 . Total popGained = 5634.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1690 . Total popGained = 5473.0 OUT and t0 usage now 1.501 1.372\n",
      "all done exchanging OUTs for UUTs for tract 657 . Total popGained = 5906.0 OUT and t0 usage now 1.49 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1828 . Total popGained = 11145.0 OUT and t0 usage now 1.475 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1833 . Total popGained = 7033.0 OUT and t0 usage now 1.465 1.372\n",
      "all done exchanging OUTs for UUTs for tract 659 . Total popGained = 5762.0 OUT and t0 usage now 1.453 1.372\n",
      "all done exchanging OUTs for UUTs for tract 654 . Total popGained = 4980.0 OUT and t0 usage now 1.444 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1832 . Total popGained = 8665.0 OUT and t0 usage now 1.429 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1829 . Total popGained = 7640.0 OUT and t0 usage now 1.417 1.372\n",
      "all done exchanging OUTs for UUTs for tract 655 . Total popGained = 7521.0 OUT and t0 usage now 1.409 1.372\n",
      "all done exchanging OUTs for UUTs for tract 46 . Total popGained = 11143.0 OUT and t0 usage now 1.399 1.372\n",
      "we have now reduced 709 usage to 1.399311431082315 . Time for next OUT\n",
      "the most overused tract 1726 with pop 1749 and usage 1.8476897193037272\n",
      "all done exchanging OUTs for UUTs for tract 2040 . Total popGained = 24202.0 OUT and t0 usage now 1.836 1.372\n",
      "all done exchanging OUTs for UUTs for tract 982 . Total popGained = 24881.0 OUT and t0 usage now 1.822 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1802 . Total popGained = 18673.0 OUT and t0 usage now 1.816 1.372\n",
      "all done exchanging OUTs for UUTs for tract 671 . Total popGained = 24601.0 OUT and t0 usage now 1.806 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2392 . Total popGained = 18080.0 OUT and t0 usage now 1.799 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2387 . Total popGained = 24683.0 OUT and t0 usage now 1.79 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2377 . Total popGained = 25259.0 OUT and t0 usage now 1.782 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2351 . Total popGained = 24020.0 OUT and t0 usage now 1.775 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2286 . Total popGained = 25781.0 OUT and t0 usage now 1.764 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2336 . Total popGained = 25727.0 OUT and t0 usage now 1.755 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2363 . Total popGained = 25731.0 OUT and t0 usage now 1.749 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2345 . Total popGained = 24856.0 OUT and t0 usage now 1.742 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2358 . Total popGained = 24817.0 OUT and t0 usage now 1.733 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2354 . Total popGained = 24380.0 OUT and t0 usage now 1.725 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 26505.0 OUT and t0 usage now 1.716 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2329 . Total popGained = 26258.0 OUT and t0 usage now 1.705 1.372\n",
      "all done exchanging OUTs for UUTs for tract 22 . Total popGained = 32776.0 OUT and t0 usage now 1.7 1.372\n",
      "all done exchanging OUTs for UUTs for tract 668 . Total popGained = 24350.0 OUT and t0 usage now 1.69 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2295 . Total popGained = 18045.0 OUT and t0 usage now 1.679 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2310 . Total popGained = 17854.0 OUT and t0 usage now 1.668 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2311 . Total popGained = 23076.0 OUT and t0 usage now 1.657 1.372\n",
      "all done exchanging OUTs for UUTs for tract 102 . Total popGained = 25835.0 OUT and t0 usage now 1.649 1.372\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 24813.0 OUT and t0 usage now 1.637 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2736 . Total popGained = 5400.0 OUT and t0 usage now 1.625 1.372\n",
      "all done exchanging OUTs for UUTs for tract 892 . Total popGained = 26349.0 OUT and t0 usage now 1.609 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 24925.0 OUT and t0 usage now 1.596 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1073 . Total popGained = 27183.0 OUT and t0 usage now 1.58 1.372\n",
      "all done exchanging OUTs for UUTs for tract 765 . Total popGained = 26409.0 OUT and t0 usage now 1.568 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1169 . Total popGained = 26684.0 OUT and t0 usage now 1.559 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1051 . Total popGained = 32439.0 OUT and t0 usage now 1.546 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1173 . Total popGained = 16917.0 OUT and t0 usage now 1.532 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2833 . Total popGained = 10147.0 OUT and t0 usage now 1.518 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2784 . Total popGained = 10758.0 OUT and t0 usage now 1.5 1.372\n",
      "all done exchanging OUTs for UUTs for tract 744 . Total popGained = 34227.0 OUT and t0 usage now 1.481 1.372\n",
      "all done exchanging OUTs for UUTs for tract 88 . Total popGained = 24496.0 OUT and t0 usage now 1.468 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1052 . Total popGained = 31756.0 OUT and t0 usage now 1.454 1.372\n",
      "all done exchanging OUTs for UUTs for tract 763 . Total popGained = 22129.0 OUT and t0 usage now 1.441 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2822 . Total popGained = 9641.0 OUT and t0 usage now 1.428 1.372\n",
      "all done exchanging OUTs for UUTs for tract 667 . Total popGained = 17489.0 OUT and t0 usage now 1.419 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1157 . Total popGained = 23428.0 OUT and t0 usage now 1.407 1.372\n",
      "we have now reduced 1726 usage to 1.398002048594716 . Time for next OUT\n",
      "the most overused tract 216 with pop 758 and usage 1.8043262967303195\n",
      "all done exchanging OUTs for UUTs for tract 2039 . Total popGained = 8666.0 OUT and t0 usage now 1.793 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2042 . Total popGained = 9039.0 OUT and t0 usage now 1.788 1.372\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 10098.0 OUT and t0 usage now 1.778 1.372\n",
      "all done exchanging OUTs for UUTs for tract 778 . Total popGained = 8865.0 OUT and t0 usage now 1.769 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 9378.0 OUT and t0 usage now 1.752 1.372\n",
      "all done exchanging OUTs for UUTs for tract 102 . Total popGained = 8324.0 OUT and t0 usage now 1.743 1.372\n",
      "all done exchanging OUTs for UUTs for tract 797 . Total popGained = 8758.0 OUT and t0 usage now 1.728 1.372\n",
      "all done exchanging OUTs for UUTs for tract 795 . Total popGained = 8986.0 OUT and t0 usage now 1.712 1.372\n",
      "all done exchanging OUTs for UUTs for tract 791 . Total popGained = 7719.0 OUT and t0 usage now 1.689 1.372\n",
      "all done exchanging OUTs for UUTs for tract 793 . Total popGained = 8827.0 OUT and t0 usage now 1.673 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 8439.0 OUT and t0 usage now 1.648 1.372\n",
      "all done exchanging OUTs for UUTs for tract 8 . Total popGained = 10988.0 OUT and t0 usage now 1.628 1.372\n",
      "all done exchanging OUTs for UUTs for tract 794 . Total popGained = 8101.0 OUT and t0 usage now 1.611 1.372\n",
      "all done exchanging OUTs for UUTs for tract 957 . Total popGained = 8165.0 OUT and t0 usage now 1.587 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1933 . Total popGained = 9794.0 OUT and t0 usage now 1.578 1.372\n",
      "all done exchanging OUTs for UUTs for tract 660 . Total popGained = 7848.0 OUT and t0 usage now 1.569 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1692 . Total popGained = 8684.0 OUT and t0 usage now 1.555 1.372\n",
      "all done exchanging OUTs for UUTs for tract 652 . Total popGained = 8713.0 OUT and t0 usage now 1.542 1.372\n",
      "all done exchanging OUTs for UUTs for tract 658 . Total popGained = 8061.0 OUT and t0 usage now 1.53 1.372\n",
      "all done exchanging OUTs for UUTs for tract 651 . Total popGained = 8879.0 OUT and t0 usage now 1.518 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1840 . Total popGained = 10579.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1841 . Total popGained = 9323.0 OUT and t0 usage now 1.498 1.372\n",
      "all done exchanging OUTs for UUTs for tract 772 . Total popGained = 8071.0 OUT and t0 usage now 1.488 1.372\n",
      "all done exchanging OUTs for UUTs for tract 92 . Total popGained = 9822.0 OUT and t0 usage now 1.473 1.372\n",
      "all done exchanging OUTs for UUTs for tract 252 . Total popGained = 7520.0 OUT and t0 usage now 1.46 1.372\n",
      "all done exchanging OUTs for UUTs for tract 251 . Total popGained = 8291.0 OUT and t0 usage now 1.451 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1831 . Total popGained = 8624.0 OUT and t0 usage now 1.439 1.372\n",
      "all done exchanging OUTs for UUTs for tract 93 . Total popGained = 8294.0 OUT and t0 usage now 1.43 1.372\n",
      "all done exchanging OUTs for UUTs for tract 766 . Total popGained = 5093.0 OUT and t0 usage now 1.418 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2778 . Total popGained = 3693.0 OUT and t0 usage now 1.404 1.372\n",
      "we have now reduced 216 usage to 1.3958585409668716 . Time for next OUT\n",
      "the most overused tract 227 with pop 318 and usage 1.6954937497770062\n",
      "all done exchanging OUTs for UUTs for tract 137 . Total popGained = 11431.0 OUT and t0 usage now 1.69 1.372\n",
      "all done exchanging OUTs for UUTs for tract 140 . Total popGained = 17220.0 OUT and t0 usage now 1.687 1.372\n",
      "all done exchanging OUTs for UUTs for tract 695 . Total popGained = 16049.0 OUT and t0 usage now 1.683 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1040 . Total popGained = 9354.0 OUT and t0 usage now 1.672 1.372\n",
      "all done exchanging OUTs for UUTs for tract 56 . Total popGained = 16199.0 OUT and t0 usage now 1.663 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1237 . Total popGained = 8509.0 OUT and t0 usage now 1.65 1.372\n",
      "all done exchanging OUTs for UUTs for tract 690 . Total popGained = 17755.0 OUT and t0 usage now 1.642 1.372\n",
      "all done exchanging OUTs for UUTs for tract 694 . Total popGained = 19438.0 OUT and t0 usage now 1.636 1.372\n",
      "all done exchanging OUTs for UUTs for tract 922 . Total popGained = 10626.0 OUT and t0 usage now 1.62 1.372\n",
      "all done exchanging OUTs for UUTs for tract 699 . Total popGained = 16583.0 OUT and t0 usage now 1.608 1.372\n",
      "all done exchanging OUTs for UUTs for tract 734 . Total popGained = 18317.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2328 . Total popGained = 4576.0 OUT and t0 usage now 1.593 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2310 . Total popGained = 7420.0 OUT and t0 usage now 1.58 1.372\n",
      "all done exchanging OUTs for UUTs for tract 840 . Total popGained = 16375.0 OUT and t0 usage now 1.562 1.372\n",
      "all done exchanging OUTs for UUTs for tract 28 . Total popGained = 8261.0 OUT and t0 usage now 1.554 1.372\n",
      "all done exchanging OUTs for UUTs for tract 902 . Total popGained = 8208.0 OUT and t0 usage now 1.543 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2307 . Total popGained = 5720.0 OUT and t0 usage now 1.532 1.372\n",
      "all done exchanging OUTs for UUTs for tract 881 . Total popGained = 10385.0 OUT and t0 usage now 1.522 1.372\n",
      "all done exchanging OUTs for UUTs for tract 869 . Total popGained = 11536.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2390 . Total popGained = 3735.0 OUT and t0 usage now 1.502 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2334 . Total popGained = 5239.0 OUT and t0 usage now 1.495 1.372\n",
      "all done exchanging OUTs for UUTs for tract 950 . Total popGained = 10155.0 OUT and t0 usage now 1.485 1.372\n",
      "all done exchanging OUTs for UUTs for tract 872 . Total popGained = 9416.0 OUT and t0 usage now 1.473 1.372\n",
      "all done exchanging OUTs for UUTs for tract 844 . Total popGained = 15992.0 OUT and t0 usage now 1.463 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2359 . Total popGained = 4992.0 OUT and t0 usage now 1.456 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2296 . Total popGained = 5687.0 OUT and t0 usage now 1.443 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2364 . Total popGained = 3735.0 OUT and t0 usage now 1.43 1.372\n",
      "all done exchanging OUTs for UUTs for tract 880 . Total popGained = 15244.0 OUT and t0 usage now 1.422 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2376 . Total popGained = 13273.0 OUT and t0 usage now 1.404 1.372\n",
      "we have now reduced 227 usage to 1.398906838821596 . Time for next OUT\n",
      "the most overused tract 181 with pop 1389 and usage 1.6926047947646872\n",
      "all done exchanging OUTs for UUTs for tract 279 . Total popGained = 7104.0 OUT and t0 usage now 1.688 1.372\n",
      "all done exchanging OUTs for UUTs for tract 272 . Total popGained = 6934.0 OUT and t0 usage now 1.677 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2040 . Total popGained = 4327.0 OUT and t0 usage now 1.669 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1800 . Total popGained = 4789.0 OUT and t0 usage now 1.66 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1798 . Total popGained = 4056.0 OUT and t0 usage now 1.65 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2041 . Total popGained = 3728.0 OUT and t0 usage now 1.639 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2326 . Total popGained = 5206.0 OUT and t0 usage now 1.629 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1805 . Total popGained = 6066.0 OUT and t0 usage now 1.622 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2387 . Total popGained = 8521.0 OUT and t0 usage now 1.614 1.372\n",
      "all done exchanging OUTs for UUTs for tract 103 . Total popGained = 5469.0 OUT and t0 usage now 1.608 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2373 . Total popGained = 5721.0 OUT and t0 usage now 1.601 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2270 . Total popGained = 4988.0 OUT and t0 usage now 1.592 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2357 . Total popGained = 5552.0 OUT and t0 usage now 1.582 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2363 . Total popGained = 8187.0 OUT and t0 usage now 1.573 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2379 . Total popGained = 6814.0 OUT and t0 usage now 1.565 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2330 . Total popGained = 5206.0 OUT and t0 usage now 1.557 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2349 . Total popGained = 5372.0 OUT and t0 usage now 1.549 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2338 . Total popGained = 6233.0 OUT and t0 usage now 1.539 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 5832.0 OUT and t0 usage now 1.528 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2307 . Total popGained = 5866.0 OUT and t0 usage now 1.522 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2389 . Total popGained = 6337.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2388 . Total popGained = 6602.0 OUT and t0 usage now 1.503 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2371 . Total popGained = 7324.0 OUT and t0 usage now 1.492 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2296 . Total popGained = 5807.0 OUT and t0 usage now 1.484 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2315 . Total popGained = 6895.0 OUT and t0 usage now 1.477 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2316 . Total popGained = 5347.0 OUT and t0 usage now 1.464 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1188 . Total popGained = 5420.0 OUT and t0 usage now 1.452 1.372\n",
      "all done exchanging OUTs for UUTs for tract 30 . Total popGained = 5303.0 OUT and t0 usage now 1.439 1.372\n",
      "all done exchanging OUTs for UUTs for tract 24 . Total popGained = 6354.0 OUT and t0 usage now 1.428 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1189 . Total popGained = 5553.0 OUT and t0 usage now 1.416 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1045 . Total popGained = 6003.0 OUT and t0 usage now 1.402 1.372\n",
      "we have now reduced 181 usage to 1.3989456353397476 . Time for next OUT\n",
      "the most overused tract 194 with pop 795 and usage 1.671409425544806\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 14293.0 OUT and t0 usage now 1.66 1.372\n",
      "all done exchanging OUTs for UUTs for tract 671 . Total popGained = 11374.0 OUT and t0 usage now 1.65 1.372\n",
      "all done exchanging OUTs for UUTs for tract 9 . Total popGained = 10539.0 OUT and t0 usage now 1.635 1.372\n",
      "all done exchanging OUTs for UUTs for tract 989 . Total popGained = 14100.0 OUT and t0 usage now 1.625 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2281 . Total popGained = 9427.0 OUT and t0 usage now 1.617 1.372\n",
      "all done exchanging OUTs for UUTs for tract 811 . Total popGained = 11063.0 OUT and t0 usage now 1.602 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2267 . Total popGained = 11318.0 OUT and t0 usage now 1.591 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2275 . Total popGained = 15915.0 OUT and t0 usage now 1.578 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2266 . Total popGained = 9040.0 OUT and t0 usage now 1.568 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2264 . Total popGained = 13815.0 OUT and t0 usage now 1.552 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2282 . Total popGained = 5193.0 OUT and t0 usage now 1.534 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2263 . Total popGained = 16604.0 OUT and t0 usage now 1.524 1.372\n",
      "all done exchanging OUTs for UUTs for tract 792 . Total popGained = 11244.0 OUT and t0 usage now 1.504 1.372\n",
      "all done exchanging OUTs for UUTs for tract 784 . Total popGained = 11151.0 OUT and t0 usage now 1.477 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2257 . Total popGained = 14285.0 OUT and t0 usage now 1.46 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2255 . Total popGained = 7929.0 OUT and t0 usage now 1.438 1.372\n",
      "all done exchanging OUTs for UUTs for tract 960 . Total popGained = 14775.0 OUT and t0 usage now 1.42 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2256 . Total popGained = 5298.0 OUT and t0 usage now 1.4 1.372\n",
      "we have now reduced 194 usage to 1.399526197522081 . Time for next OUT\n",
      "the most overused tract 108 with pop 326 and usage 1.671352954254219\n",
      "all done exchanging OUTs for UUTs for tract 778 . Total popGained = 8587.0 OUT and t0 usage now 1.658 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 8427.0 OUT and t0 usage now 1.651 1.372\n",
      "all done exchanging OUTs for UUTs for tract 981 . Total popGained = 10140.0 OUT and t0 usage now 1.635 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1838 . Total popGained = 7568.0 OUT and t0 usage now 1.626 1.372\n",
      "all done exchanging OUTs for UUTs for tract 809 . Total popGained = 10035.0 OUT and t0 usage now 1.615 1.372\n",
      "all done exchanging OUTs for UUTs for tract 807 . Total popGained = 5788.0 OUT and t0 usage now 1.6 1.372\n",
      "all done exchanging OUTs for UUTs for tract 785 . Total popGained = 4812.0 OUT and t0 usage now 1.589 1.372\n",
      "all done exchanging OUTs for UUTs for tract 787 . Total popGained = 4964.0 OUT and t0 usage now 1.569 1.372\n",
      "all done exchanging OUTs for UUTs for tract 791 . Total popGained = 8445.0 OUT and t0 usage now 1.546 1.372\n",
      "all done exchanging OUTs for UUTs for tract 780 . Total popGained = 7816.0 OUT and t0 usage now 1.521 1.372\n",
      "all done exchanging OUTs for UUTs for tract 955 . Total popGained = 6299.0 OUT and t0 usage now 1.502 1.372\n",
      "all done exchanging OUTs for UUTs for tract 960 . Total popGained = 4821.0 OUT and t0 usage now 1.477 1.372\n",
      "all done exchanging OUTs for UUTs for tract 794 . Total popGained = 4990.0 OUT and t0 usage now 1.462 1.372\n",
      "all done exchanging OUTs for UUTs for tract 669 . Total popGained = 7337.0 OUT and t0 usage now 1.454 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1835 . Total popGained = 1264.0 OUT and t0 usage now 1.437 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1933 . Total popGained = 4391.0 OUT and t0 usage now 1.423 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1831 . Total popGained = 7076.0 OUT and t0 usage now 1.406 1.372\n",
      "we have now reduced 108 usage to 1.398091329889257 . Time for next OUT\n",
      "the most overused tract 45 with pop 1200 and usage 1.6647223217132447\n",
      "all done exchanging OUTs for UUTs for tract 2041 . Total popGained = 13609.0 OUT and t0 usage now 1.659 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2042 . Total popGained = 3900.0 OUT and t0 usage now 1.653 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2387 . Total popGained = 5453.0 OUT and t0 usage now 1.645 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2337 . Total popGained = 4423.0 OUT and t0 usage now 1.637 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2365 . Total popGained = 4536.0 OUT and t0 usage now 1.629 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2364 . Total popGained = 5059.0 OUT and t0 usage now 1.621 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2334 . Total popGained = 5914.0 OUT and t0 usage now 1.614 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2369 . Total popGained = 12498.0 OUT and t0 usage now 1.607 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2367 . Total popGained = 10503.0 OUT and t0 usage now 1.599 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 5446.0 OUT and t0 usage now 1.591 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2349 . Total popGained = 9088.0 OUT and t0 usage now 1.581 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2328 . Total popGained = 2349.0 OUT and t0 usage now 1.576 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2295 . Total popGained = 0.0 OUT and t0 usage now 1.565 1.372\n",
      "all done exchanging OUTs for UUTs for tract 85 . Total popGained = 12808.0 OUT and t0 usage now 1.555 1.372\n",
      "all done exchanging OUTs for UUTs for tract 29 . Total popGained = 1821.0 OUT and t0 usage now 1.544 1.372\n",
      "all done exchanging OUTs for UUTs for tract 779 . Total popGained = 13335.0 OUT and t0 usage now 1.537 1.372\n",
      "all done exchanging OUTs for UUTs for tract 69 . Total popGained = 12626.0 OUT and t0 usage now 1.525 1.372\n",
      "all done exchanging OUTs for UUTs for tract 68 . Total popGained = 11694.0 OUT and t0 usage now 1.515 1.372\n",
      "all done exchanging OUTs for UUTs for tract 662 . Total popGained = 13171.0 OUT and t0 usage now 1.499 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 11575.0 OUT and t0 usage now 1.484 1.372\n",
      "all done exchanging OUTs for UUTs for tract 9 . Total popGained = 14520.0 OUT and t0 usage now 1.473 1.372\n",
      "all done exchanging OUTs for UUTs for tract 792 . Total popGained = 13785.0 OUT and t0 usage now 1.45 1.372\n",
      "all done exchanging OUTs for UUTs for tract 805 . Total popGained = 12060.0 OUT and t0 usage now 1.429 1.372\n",
      "all done exchanging OUTs for UUTs for tract 940 . Total popGained = 6742.0 OUT and t0 usage now 1.411 1.372\n",
      "we have now reduced 45 usage to 1.3952135546248492 . Time for next OUT\n",
      "the most overused tract 3099 with pop 349 and usage 1.6240984572495274\n",
      "all done exchanging OUTs for UUTs for tract 191 . Total popGained = 6634.0 OUT and t0 usage now 1.618 1.372\n",
      "all done exchanging OUTs for UUTs for tract 204 . Total popGained = 7321.0 OUT and t0 usage now 1.613 1.372\n",
      "all done exchanging OUTs for UUTs for tract 3105 . Total popGained = 5138.0 OUT and t0 usage now 1.607 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1799 . Total popGained = 7268.0 OUT and t0 usage now 1.603 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1147 . Total popGained = 8375.0 OUT and t0 usage now 1.598 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1171 . Total popGained = 11115.0 OUT and t0 usage now 1.587 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1187 . Total popGained = 11724.0 OUT and t0 usage now 1.575 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1241 . Total popGained = 10461.0 OUT and t0 usage now 1.567 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1169 . Total popGained = 7138.0 OUT and t0 usage now 1.559 1.372\n",
      "all done exchanging OUTs for UUTs for tract 18 . Total popGained = 8708.0 OUT and t0 usage now 1.544 1.372\n",
      "all done exchanging OUTs for UUTs for tract 898 . Total popGained = 5804.0 OUT and t0 usage now 1.536 1.372\n",
      "all done exchanging OUTs for UUTs for tract 820 . Total popGained = 11384.0 OUT and t0 usage now 1.519 1.372\n",
      "all done exchanging OUTs for UUTs for tract 908 . Total popGained = 7374.0 OUT and t0 usage now 1.507 1.372\n",
      "all done exchanging OUTs for UUTs for tract 830 . Total popGained = 2095.0 OUT and t0 usage now 1.496 1.372\n",
      "all done exchanging OUTs for UUTs for tract 935 . Total popGained = 9276.0 OUT and t0 usage now 1.482 1.372\n",
      "all done exchanging OUTs for UUTs for tract 872 . Total popGained = 8126.0 OUT and t0 usage now 1.47 1.372\n",
      "all done exchanging OUTs for UUTs for tract 943 . Total popGained = 7261.0 OUT and t0 usage now 1.46 1.372\n",
      "all done exchanging OUTs for UUTs for tract 880 . Total popGained = 8267.0 OUT and t0 usage now 1.446 1.372\n",
      "all done exchanging OUTs for UUTs for tract 882 . Total popGained = 11853.0 OUT and t0 usage now 1.427 1.372\n",
      "all done exchanging OUTs for UUTs for tract 883 . Total popGained = 9714.0 OUT and t0 usage now 1.409 1.372\n",
      "we have now reduced 3099 usage to 1.3975960707440649 . Time for next OUT\n",
      "the most overused tract 184 with pop 3043 and usage 1.60521592403614\n",
      "all done exchanging OUTs for UUTs for tract 279 . Total popGained = 11759.0 OUT and t0 usage now 1.6 1.372\n",
      "all done exchanging OUTs for UUTs for tract 272 . Total popGained = 9988.0 OUT and t0 usage now 1.59 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1802 . Total popGained = 8764.0 OUT and t0 usage now 1.584 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1798 . Total popGained = 9303.0 OUT and t0 usage now 1.575 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2326 . Total popGained = 10560.0 OUT and t0 usage now 1.564 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2347 . Total popGained = 10404.0 OUT and t0 usage now 1.559 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2386 . Total popGained = 7196.0 OUT and t0 usage now 1.55 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2370 . Total popGained = 6830.0 OUT and t0 usage now 1.543 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2373 . Total popGained = 6583.0 OUT and t0 usage now 1.534 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2365 . Total popGained = 6886.0 OUT and t0 usage now 1.527 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2375 . Total popGained = 9945.0 OUT and t0 usage now 1.518 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2345 . Total popGained = 6385.0 OUT and t0 usage now 1.51 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2379 . Total popGained = 5954.0 OUT and t0 usage now 1.502 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2380 . Total popGained = 10474.0 OUT and t0 usage now 1.494 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2335 . Total popGained = 6669.0 OUT and t0 usage now 1.487 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2333 . Total popGained = 7251.0 OUT and t0 usage now 1.476 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2356 . Total popGained = 8045.0 OUT and t0 usage now 1.467 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2355 . Total popGained = 6605.0 OUT and t0 usage now 1.457 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2285 . Total popGained = 11173.0 OUT and t0 usage now 1.445 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1799 . Total popGained = 9877.0 OUT and t0 usage now 1.442 1.372\n",
      "all done exchanging OUTs for UUTs for tract 984 . Total popGained = 5092.0 OUT and t0 usage now 1.43 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2298 . Total popGained = 7298.0 OUT and t0 usage now 1.419 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1239 . Total popGained = 7848.0 OUT and t0 usage now 1.406 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2295 . Total popGained = 4464.0 OUT and t0 usage now 1.401 1.372\n",
      "we have now reduced 184 usage to 1.3978734751375617 . Time for next OUT\n",
      "the most overused tract 994 with pop 658 and usage 1.5556752551304076\n",
      "all done exchanging OUTs for UUTs for tract 985 . Total popGained = 6932.0 OUT and t0 usage now 1.544 1.372\n",
      "all done exchanging OUTs for UUTs for tract 90 . Total popGained = 8012.0 OUT and t0 usage now 1.536 1.372\n",
      "all done exchanging OUTs for UUTs for tract 85 . Total popGained = 6908.0 OUT and t0 usage now 1.529 1.372\n",
      "all done exchanging OUTs for UUTs for tract 779 . Total popGained = 6535.0 OUT and t0 usage now 1.518 1.372\n",
      "all done exchanging OUTs for UUTs for tract 670 . Total popGained = 5848.0 OUT and t0 usage now 1.509 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 8679.0 OUT and t0 usage now 1.495 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 7447.0 OUT and t0 usage now 1.483 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 7102.0 OUT and t0 usage now 1.464 1.372\n",
      "all done exchanging OUTs for UUTs for tract 792 . Total popGained = 6225.0 OUT and t0 usage now 1.442 1.372\n",
      "all done exchanging OUTs for UUTs for tract 784 . Total popGained = 7248.0 OUT and t0 usage now 1.416 1.372\n",
      "all done exchanging OUTs for UUTs for tract 86 . Total popGained = 10536.0 OUT and t0 usage now 1.4 1.372\n",
      "we have now reduced 994 usage to 1.3959749305213256 . Time for next OUT\n",
      "the most overused tract 241 with pop 942 and usage 1.5277985712489393\n",
      "all done exchanging OUTs for UUTs for tract 281 . Total popGained = 3435.0 OUT and t0 usage now 1.522 1.372\n",
      "all done exchanging OUTs for UUTs for tract 274 . Total popGained = 3435.0 OUT and t0 usage now 1.511 1.372\n",
      "all done exchanging OUTs for UUTs for tract 273 . Total popGained = 7997.0 OUT and t0 usage now 1.506 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1801 . Total popGained = 2979.0 OUT and t0 usage now 1.497 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1150 . Total popGained = 8737.0 OUT and t0 usage now 1.487 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1167 . Total popGained = 5421.0 OUT and t0 usage now 1.476 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1045 . Total popGained = 5851.0 OUT and t0 usage now 1.464 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1042 . Total popGained = 7704.0 OUT and t0 usage now 1.451 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1256 . Total popGained = 6737.0 OUT and t0 usage now 1.435 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1209 . Total popGained = 9143.0 OUT and t0 usage now 1.424 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1196 . Total popGained = 7149.0 OUT and t0 usage now 1.413 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1092 . Total popGained = 9191.0 OUT and t0 usage now 1.403 1.372\n",
      "we have now reduced 241 usage to 1.3996093329181176 . Time for next OUT\n",
      "the most overused tract 1131 with pop 1686 and usage 1.5032930276768115\n",
      "all done exchanging OUTs for UUTs for tract 2039 . Total popGained = 13894.0 OUT and t0 usage now 1.49 1.372\n",
      "all done exchanging OUTs for UUTs for tract 668 . Total popGained = 11319.0 OUT and t0 usage now 1.487 1.372\n",
      "all done exchanging OUTs for UUTs for tract 777 . Total popGained = 14567.0 OUT and t0 usage now 1.479 1.372\n",
      "all done exchanging OUTs for UUTs for tract 774 . Total popGained = 13966.0 OUT and t0 usage now 1.466 1.372\n",
      "all done exchanging OUTs for UUTs for tract 775 . Total popGained = 12731.0 OUT and t0 usage now 1.451 1.372\n",
      "all done exchanging OUTs for UUTs for tract 803 . Total popGained = 12426.0 OUT and t0 usage now 1.439 1.372\n",
      "all done exchanging OUTs for UUTs for tract 798 . Total popGained = 13558.0 OUT and t0 usage now 1.423 1.372\n",
      "all done exchanging OUTs for UUTs for tract 805 . Total popGained = 12644.0 OUT and t0 usage now 1.401 1.372\n",
      "we have now reduced 1131 usage to 1.3967065220064578 . Time for next OUT\n",
      "the most overused tract 2544 with pop 1721 and usage 1.4919600203105936\n",
      "all done exchanging OUTs for UUTs for tract 984 . Total popGained = 7810.0 OUT and t0 usage now 1.477 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2272 . Total popGained = 10624.0 OUT and t0 usage now 1.467 1.372\n",
      "all done exchanging OUTs for UUTs for tract 9 . Total popGained = 3301.0 OUT and t0 usage now 1.453 1.372\n",
      "all done exchanging OUTs for UUTs for tract 103 . Total popGained = 7922.0 OUT and t0 usage now 1.443 1.372\n",
      "all done exchanging OUTs for UUTs for tract 778 . Total popGained = 5871.0 OUT and t0 usage now 1.435 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2267 . Total popGained = 9141.0 OUT and t0 usage now 1.423 1.372\n",
      "all done exchanging OUTs for UUTs for tract 804 . Total popGained = 4783.0 OUT and t0 usage now 1.411 1.372\n",
      "we have now reduced 2544 usage to 1.3978174978371911 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.4750269930239013\n",
      "all done exchanging OUTs for UUTs for tract 24 . Total popGained = 4170.0 OUT and t0 usage now 1.47 1.372\n",
      "all done exchanging OUTs for UUTs for tract 26 . Total popGained = 4667.0 OUT and t0 usage now 1.466 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2285 . Total popGained = 9737.0 OUT and t0 usage now 1.457 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2312 . Total popGained = 9038.0 OUT and t0 usage now 1.447 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2330 . Total popGained = 7659.0 OUT and t0 usage now 1.438 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2316 . Total popGained = 7323.0 OUT and t0 usage now 1.428 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2337 . Total popGained = 6669.0 OUT and t0 usage now 1.419 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2336 . Total popGained = 6608.0 OUT and t0 usage now 1.409 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2382 . Total popGained = 10789.0 OUT and t0 usage now 1.401 1.372\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 247 with pop 284 and usage 1.4576553129097967\n",
      "all done exchanging OUTs for UUTs for tract 276 . Total popGained = 11164.0 OUT and t0 usage now 1.452 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1191 . Total popGained = 4557.0 OUT and t0 usage now 1.44 1.372\n",
      "all done exchanging OUTs for UUTs for tract 275 . Total popGained = 9347.0 OUT and t0 usage now 1.431 1.372\n",
      "all done exchanging OUTs for UUTs for tract 1066 . Total popGained = 13174.0 OUT and t0 usage now 1.419 1.372\n",
      "all done exchanging OUTs for UUTs for tract 272 . Total popGained = 10755.0 OUT and t0 usage now 1.411 1.372\n",
      "all done exchanging OUTs for UUTs for tract 2762 . Total popGained = 9996.0 OUT and t0 usage now 1.407 1.372\n",
      "we have now reduced 247 usage to 1.3991543203078076 . Time for next OUT\n",
      "the most overused tract 3095 with pop 483 and usage 1.4561801987420921\n",
      "all done exchanging OUTs for UUTs for tract 191 . Total popGained = 5162.0 OUT and t0 usage now 1.449 1.367\n",
      "all done exchanging OUTs for UUTs for tract 202 . Total popGained = 7742.0 OUT and t0 usage now 1.444 1.363\n",
      "all done exchanging OUTs for UUTs for tract 131 . Total popGained = 5452.0 OUT and t0 usage now 1.43 1.349\n",
      "all done exchanging OUTs for UUTs for tract 3105 . Total popGained = 4510.0 OUT and t0 usage now 1.424 1.343\n",
      "all done exchanging OUTs for UUTs for tract 1795 . Total popGained = 3509.0 OUT and t0 usage now 1.42 1.339\n",
      "all done exchanging OUTs for UUTs for tract 281 . Total popGained = 5787.0 OUT and t0 usage now 1.415 1.334\n",
      "all done exchanging OUTs for UUTs for tract 1155 . Total popGained = 4153.0 OUT and t0 usage now 1.41 1.329\n",
      "all done exchanging OUTs for UUTs for tract 280 . Total popGained = 4220.0 OUT and t0 usage now 1.403 1.322\n",
      "we have now reduced 3095 usage to 1.398825089015493 . Time for next OUT\n",
      "the most overused tract 1727 with pop 2308 and usage 1.4473808375671393\n",
      "all done exchanging OUTs for UUTs for tract 279 . Total popGained = 17837.0 OUT and t0 usage now 1.442 1.318\n",
      "all done exchanging OUTs for UUTs for tract 272 . Total popGained = 16988.0 OUT and t0 usage now 1.432 1.318\n",
      "all done exchanging OUTs for UUTs for tract 1800 . Total popGained = 20685.0 OUT and t0 usage now 1.427 1.318\n",
      "all done exchanging OUTs for UUTs for tract 2317 . Total popGained = 23328.0 OUT and t0 usage now 1.42 1.318\n",
      "all done exchanging OUTs for UUTs for tract 2391 . Total popGained = 5107.0 OUT and t0 usage now 1.413 1.318\n",
      "all done exchanging OUTs for UUTs for tract 2381 . Total popGained = 17314.0 OUT and t0 usage now 1.405 1.318\n",
      "we have now reduced 1727 usage to 1.399727628558172 . Time for next OUT\n",
      "the most overused tract 53 with pop 500 and usage 1.4392773871376385\n",
      "all done exchanging OUTs for UUTs for tract 671 . Total popGained = 3080.0 OUT and t0 usage now 1.436 1.318\n",
      "all done exchanging OUTs for UUTs for tract 779 . Total popGained = 3418.0 OUT and t0 usage now 1.431 1.318\n",
      "all done exchanging OUTs for UUTs for tract 777 . Total popGained = 3106.0 OUT and t0 usage now 1.42 1.318\n",
      "all done exchanging OUTs for UUTs for tract 810 . Total popGained = 2692.0 OUT and t0 usage now 1.41 1.318\n",
      "we have now reduced 53 usage to 1.3995746931697697 . Time for next OUT\n",
      "the most overused tract 1732 with pop 4666 and usage 1.4367101940372193\n",
      "all done exchanging OUTs for UUTs for tract 796 . Total popGained = 16769.0 OUT and t0 usage now 1.421 1.318\n",
      "all done exchanging OUTs for UUTs for tract 753 . Total popGained = 17857.0 OUT and t0 usage now 1.395 1.318\n",
      "we have now reduced 1732 usage to 1.3948401323654054 . Time for next OUT\n",
      "the most overused tract 231 with pop 653 and usage 1.4339844335898855\n",
      "all done exchanging OUTs for UUTs for tract 3104 . Total popGained = 0.0 OUT and t0 usage now 1.429 1.318\n",
      "all done exchanging OUTs for UUTs for tract 1800 . Total popGained = 0.0 OUT and t0 usage now 1.426 1.318\n",
      "all done exchanging OUTs for UUTs for tract 882 . Total popGained = 1719.0 OUT and t0 usage now 1.414 1.318\n",
      "all done exchanging OUTs for UUTs for tract 938 . Total popGained = 1748.0 OUT and t0 usage now 1.398 1.318\n",
      "we have now reduced 231 usage to 1.3978953581698006 . Time for next OUT\n",
      "the most overused tract 35 with pop 165 and usage 1.4300770699761023\n",
      "all done exchanging OUTs for UUTs for tract 660 . Total popGained = 20671.0 OUT and t0 usage now 1.411 1.318\n",
      "we have now reduced 35 usage to 1.3958100453191828 . Time for next OUT\n",
      "the most overused tract 219 with pop 1015 and usage 1.4261391192944435\n",
      "all done exchanging OUTs for UUTs for tract 854 . Total popGained = 10170.0 OUT and t0 usage now 1.411 1.318\n",
      "all done exchanging OUTs for UUTs for tract 240 . Total popGained = 25737.0 OUT and t0 usage now 1.398 1.318\n",
      "we have now reduced 219 usage to 1.3978509152025884 . Time for next OUT\n",
      "the most overused tract 4 with pop 89 and usage 1.4203945675175458\n",
      "all done exchanging OUTs for UUTs for tract 164 . Total popGained = 1523.0 OUT and t0 usage now 1.412 1.318\n",
      "we have now reduced 4 usage to 1.399476316284457 . Time for next OUT\n",
      "the most overused tract 207 with pop 686 and usage 1.41201174841705\n",
      "all done exchanging OUTs for UUTs for tract 776 . Total popGained = 13994.0 OUT and t0 usage now 1.4 1.318\n",
      "we have now reduced 207 usage to 1.3996218032275238 . Time for next OUT\n",
      "the most overused tract 999 with pop 843 and usage 1.4096664611728118\n",
      "we have now reduced 999 usage to 1.398939223904045 . Time for next OUT\n",
      "the most overused tract 122 with pop 842 and usage 1.40957311013327\n",
      "we have now reduced 122 usage to 1.3992199821466744 . Time for next OUT\n",
      "the most overused tract 52 with pop 1197 and usage 1.4073256832603773\n",
      "we have now reduced 52 usage to 1.3965984459916105 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n",
      "we have now reduced 688 usage to 1.3999917557398929 . Time for next OUT\n",
      "the most overused tract 688 with pop 984 and usage 1.3999917557398929\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_53/2507848697.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     27\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mtt\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mHDtractList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m                     \u001b[0misOUTboundaryTract\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"yes\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mtractGeom\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mOUT\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mintersects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mMAPboundary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m                 \u001b[0misOUTboundaryTract\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"yes\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misOUTboundaryTract\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"yes\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/geopandas/geoseries.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    606\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    607\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 608\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wrapped_pandas_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"__getitem__\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    609\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    610\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/geopandas/geoseries.py\u001b[0m in \u001b[0;36m_wrapped_pandas_method\u001b[0;34m(self, mtd, *args, **kwargs)\u001b[0m\n\u001b[1;32m    599\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_wrapped_pandas_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmtd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    600\u001b[0m         \u001b[0;34m\"\"\"Wrap a generic pandas method to ensure it returns a GeoSeries\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 601\u001b[0;31m         \u001b[0mval\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmtd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    602\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    603\u001b[0m             \u001b[0mval\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGeoSeries\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    936\u001b[0m             \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munpack_1tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    937\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_should_fallback_to_positional\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    940\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "print(\"This code block aims to narrow the breadth of the precinct usage distribution\")  #based on OH_patch_legisl_org patching block\n",
    "# GENERAL SCHEME - identify the most overused tract (OUT) and a list of underused tract (UUT's)\n",
    "#  Loop over all tracts to find HD's that use this tract\n",
    "#     Among these HDs, determine which ones have this OUT on its boundary (OUT intersects MAPboundary or has nonHD neighbors)\n",
    "#       For each tract w this OUT as a boundary tract, ID which ones contain a neighbor of a non-HD UUT (an addable UUT)\n",
    "#          Score all qualifying HDs based on the centrality of its most proximate qualifying UUT\n",
    "#            For best-scoring HD, trade out OUT for UUT's until HD3pop recovered\n",
    "maxUUTuse = 0.8 #we'll prioritize subbing in UnderUsedMunis which are this much underused\n",
    "A0 = 1.000   #scorecard constant for encouraging underused munis vs. proximate munis\n",
    "A1 = 4.000   #penalty for using non-UnderUsedMuni when no real UUM available\n",
    "nLoopPrint = 10    \n",
    "maxOUTs = nWayOverusedTracts #20 #arbitrary number of OUTs to depress (debug)\n",
    "nOUTs = 0\n",
    "OUTusageStopLoop = 1.4 #when we get the OUT's usage below this, move on to another OUM\n",
    "while nOUTs <= maxOUTs and np.max(tractUse) > OUTusageStopLoop:\n",
    "\n",
    "    nOUTs +=1  #working on a new OUM\n",
    "    OUT = tractUse.index(np.max(tractUse))\n",
    "    print(\"the most overused tract\",OUT,\"with pop\",tractPop[OUT],\"and usage\",tractUse[OUT])\n",
    "    OUT_centerDistance = [0.]*nTracts  #we'll score HDs based on how far the OUT is from the HD centerpoint.  Fake as 0 if nonqualifying\n",
    "    sortedOUTCD = [0.]*nTracts\n",
    "    nQualifyingTracts = 0\n",
    "    for t in range(nTracts):\n",
    "        if OUT in HDtractList[t] and t != OUT:\n",
    "            isOUTboundaryTract = \"no\"\n",
    "            for tt in neighborList[OUT]:\n",
    "                if tt not in HDtractList[t]:\n",
    "                    isOUTboundaryTract = \"yes\"\n",
    "            if tractGeom[OUT].intersects(MAPboundary):\n",
    "                isOUTboundaryTract = \"yes\"\n",
    "            if isOUTboundaryTract == \"yes\":\n",
    "                OUT_centerDistance[t] = -1.*tractCP[t].distance(tractCP[OUT])  # -1 so low score is preferred (farthest away)\n",
    "                sortedOUTCD[t] = OUT_centerDistance[t]\n",
    "                nQualifyingTracts +=1\n",
    "    sortedOUTCD.sort()\n",
    "    T = 0\n",
    "    while T < nQualifyingTracts and tractUse[OUT] > OUTusageStopLoop:  \n",
    "        T += 1\n",
    "        t = OUT_centerDistance.index(sortedOUTCD[T])  #start with HD that is farthest from the OUT and work in\n",
    "        if OUT in HDtractList[t]:  #should be always true, but just in case\n",
    "            addScore = [0.]*nTracts  #underused tracts closer to HD tractCP will be assigned a more negative score\n",
    "            for tt in range(nTracts):\n",
    "                if tt not in HDtractList[t] and tractUse[tt] < 1.0:  #we'll check adjacency later.  For now, score all under-used tracts\n",
    "                    addScore[tt] = (tractUse[tt] - 1.) * abs(OUT_centerDistance[t]) / tractCP[t].distance(tractCP[tt]) \n",
    "        \n",
    "            OUTgroup = [OUT]  #include 1- and 2-level overUsed neighbors of the OUT to get rid of here\n",
    "            for tt in neighborList[OUT]:\n",
    "                if tt in HDtractList[t] and tractUse[tt] > 1.0 and tt not in OUTgroup and tt != t:  \n",
    "                    OUTgroup.append(tt)\n",
    "                for ttt in neighborList[tt]:  #now look at 2nd-level neighbors.  Use a higher tractUse bar to include in group\n",
    "                    if ttt in HDtractList[t] and tractUse[ttt] > 1.2 and ttt not in OUTgroup and ttt != t:\n",
    "                        OUTgroup.append(ttt)\n",
    "            popToShed = 0.\n",
    "            for tt in OUTgroup:\n",
    "                popToShed += tractPop[tt]*getFrac(tt,partialTractNo[t],partialTractUse[t])\n",
    "                HDtractList[t].remove(tt)\n",
    "                tractUse[tt] -= tractPop[t] / avgDistrictPop * getFrac(tt,partialTractNo[t],partialTractUse[t])\n",
    "            popGained = 0.\n",
    "            #print(\"We are shedding tracts\",OUTgroup,\"with total pop in HD\",popToShed,\"led by\",OUT,\"from Home District\",t)\n",
    "            while popToShed > 0.6*np.average(tractPop):  #get close enough; we can square up later\n",
    "                addableUUTlist = []\n",
    "                addableUUTscore = [0.]*nTracts\n",
    "                for tt in HDtractList[t]:  #OUT and friends already removed from this list, so their neighbors not checked\n",
    "                    for n in neighborList[tt]:\n",
    "                        if tt not in OUTgroup and n not in addableUUTlist and n not in HDtractList[t] and tractUse[n] < 1.0 :\n",
    "                            addableUUTlist.append(n)\n",
    "                            addableUUTscore[n] = addScore[n]\n",
    "                if addableUUTlist == []:  #no neighboring underUsed tracts.  relax underUse constraint\n",
    "                    print(\"no nearby truly underused tracts.  We will allow UUTs with tractUse < 1.2\")\n",
    "                    for tt in HDtractList[t]:  #OUT and friends already removed from this list, so their neighbors not checked\n",
    "                        for n in neighborList[tt]:\n",
    "                            if tt not in OUTgroup and n not in addableUUTlist and n not in HDtractList[t] and tractUse[n] < 1.2 :\n",
    "                                addableUUTlist.append(n)\n",
    "                                addableUUTscore[n] = (tractUse[n] - 1.2) * abs(OUT_centerDistance[t]) / tractCP[t].distance(tractCP[n])                \n",
    "                tractToAdd = addableUUTscore.index(np.min(addableUUTscore))\n",
    "                if addableUUTlist == []:\n",
    "                    ohno = input(\"no nearby tracts found with tractUse < 1.2\")\n",
    "                if tractToAdd == 0 :  #should not happen; this is an overused tract\n",
    "                    ohno = input(\"Uh oh, code thinks we should be adding tract 0 which has a score of\",addScore[0])\n",
    "                HDtractList[t].append(tractToAdd)\n",
    "                popToShed -= tractPop[tractToAdd]\n",
    "                popGained += tractPop[tractToAdd]\n",
    "                tractUse[tractToAdd] += tractPop[t] / avgDistrictPop\n",
    "                #print(\"adding tract\",tractToAdd,\"with pop\",tractPop[tractToAdd],\"to HD\",t,\". PoptoShed is now\",popToShed)\n",
    "            if T%nLoopPrint == 0:\n",
    "                print(\"all done exchanging OUTs for UUTs for tract\",t,\". Total popGained =\",popGained,\n",
    "                      \"OUT and t0 usage now\",r3(tractUse[OUT]),r3(tractUse[0]))\n",
    "                            \n",
    "    print(\"we have now reduced\",OUT,\"usage to\",tractUse[OUT],\". Time for next OUT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "fd844d35-8fed-4442-ab25-07525354def3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now recalculate all Home District leans\n",
      "I will now capture the patched HDpiece results in a csv file\n"
     ]
    }
   ],
   "source": [
    "print(\"we will now recalculate all Home District leans\")\n",
    "HDvPop = [0.]*nTracts\n",
    "HDvGOP = [0.]*nTracts\n",
    "HDvBlack = [0.]*nTracts\n",
    "HDvHisp = [0.]*nTracts\n",
    "HDarea = [0.]*nTracts\n",
    "HDweight = [0.]*nTracts\n",
    "HDtotVote = [0.]*nTracts\n",
    "\n",
    "for t in range(nTracts):\n",
    "    HDweight[t] = tractPop[t]/np.sum(tractPop)\n",
    "    totGOP = 0.   #zero out; the home tract is in the HDtractList\n",
    "    totVote = 0.\n",
    "    totVAP = 0.\n",
    "    totHisp = 0.\n",
    "    totBlack = 0.  \n",
    "    for tt in HDtractList[t]:\n",
    "        fracUse = 1.\n",
    "        if partialTractNo[t] == tt:\n",
    "            fracUse = partialTractUse[t]\n",
    "        totGOP +=   fracUse*vtdTrump[tt]\n",
    "        totVote +=  fracUse*(vtdTrump[tt]+vtdBiden[tt])\n",
    "        totVAP +=   fracUse*tractVAP[tt]\n",
    "        totHisp +=  fracUse*tractHisp[tt]\n",
    "        totBlack += fracUse*tractBlack[tt]\n",
    "        HDarea[t] +=   fracUse*tractArea[tt]\n",
    "        HDvPop[t] +=   fracUse*tractPop[tt]\n",
    "    HDvGOP[t] = totGOP / totVote\n",
    "    HDvBlack[t] = totBlack / totVAP\n",
    "    HDvHisp[t] = totHisp / totVAP\n",
    "    HDtotVote[t] = totVote\n",
    "    \n",
    "\n",
    "print(\"I will now capture the patched HDpiece results in a csv file\")\n",
    "date = \"18Sepfrom14Sep\"\n",
    "tractNo = [0]*nTracts\n",
    "for t in range(nTracts):\n",
    "    tractNo[t] = t\n",
    "df = pd.DataFrame( {\"tractNo\":tractNo,\"centroid x\":tractCPx,\"centroid y\":tractCPy,\"tractPop\":tractPop,\"HDwt\":HDweight,\n",
    "                    \"HD-pop\":HDvPop,\"HDvGOP\":HDvGOP,\"HDtotVote\":HDtotVote,\"HDvBlack\":HDvBlack,\"HDvHisp\":HDvHisp, \"HDarea\":HDarea,\n",
    "                    \"HDtractList\":HDtractList,\"partialNo\":partialTractNo,\"partialUse\":partialTractUse,\n",
    "                   \"vtdBiden\":vtdBiden,\"vtdTrump\":vtdTrump,\"neighborList\":neighborList} ) \n",
    "\n",
    "outname = STATE+str(nDistricts)+\"HDpcL\"+date+\"patched.csv\"\n",
    "outpath = \"state_HD_output/\"+outname\n",
    "df.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "529db728-efe7-4877-a519-b17b05bbd875",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now compute the tract usage\n",
      "and plot the tract usage distro\n",
      "1.0 0.12521 = avg,std dev of TRACT usage.  Here is its weighted histogram\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"I will now compute the tract usage\")\n",
    "tractUse = [0.]*nTracts\n",
    "for t in range(nTracts):\n",
    "    for tt in HDtractList[t]:\n",
    "        tractUse[tt] += tractPop[t] / avgDistrictPop\n",
    "        if partialTractNo[t] == tt:\n",
    "            tractUse[tt] -= tractPop[t] / avgDistrictPop * (1. - partialTractUse[t])\n",
    "print(\"and plot the tract usage distro\")\n",
    "n_bins=50\n",
    "avgTractUse = 0.\n",
    "statePop = np.sum(tractPop)\n",
    "for t in range(nTracts):\n",
    "    avgTractUse += tractUse[t] * HDweight[t]\n",
    "sumVarTractUse = 0.\n",
    "for t in range(nTracts):\n",
    "    sumVarTractUse += (tractUse[t]-avgTractUse)**2 * HDweight[t]\n",
    "sdTractUse = sumVarTractUse ** 0.5\n",
    "print(r3(avgTractUse),r5(sdTractUse),\"= avg,std dev of TRACT usage.  Here is its weighted histogram\")\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "# We can set the number of bins with the *bins* keyword argument.\n",
    "ax.hist(tractUse, bins=n_bins, weights=HDweight)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "c6d37b4c-9dbc-46e2-a553-f1a697644b00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we visualize under-used (black) and over-used (red) tracts. minUse and maxUse for plotting are 0.7 1.6\n",
      "We do not plot tracts with usage between 0.9 and 1.1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 3 used < 0.7 and 0 used more than 1.6\n"
     ]
    }
   ],
   "source": [
    "minUse = 0.7\n",
    "maxUse = 1.6\n",
    "minNoPlot = 0.9\n",
    "maxNoPlot = 1.1\n",
    "print(\"Here we visualize under-used (black) and over-used (red) tracts. minUse and maxUse for plotting are\",minUse, maxUse)\n",
    "print(\"We do not plot tracts with usage between\",minNoPlot,\"and\",maxNoPlot)\n",
    "for t in range(nTracts):\n",
    "    if tractUse[t] < minNoPlot:\n",
    "        redd = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        gren = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        bluu = min(1, max( 0, (tractUse[t] - minUse)/(minNoPlot - minUse) ) )\n",
    "        GEOM = tractGeom[t]\n",
    "        if GEOM.type == Polygon([Point(0,0),Point(1,0), Point(1,1)]).type :\n",
    "            EXTERIOR = GEOM.exterior\n",
    "            x,y = EXTERIOR.xy\n",
    "            plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "        else:\n",
    "            for geom in GEOM.geoms:\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.fill(x,y,facecolor=(redd,gren,bluu) )\n",
    "    if tractUse[t] > maxNoPlot:\n",
    "        redd = 1\n",
    "        gren = min(1, max( 0, (maxUse - tractUse[t] )/(maxUse - maxNoPlot) ) )\n",
    "        bluu = min(1, max( 0, (maxUse - tractUse[t] )/(maxUse - maxNoPlot) ) )\n",
    "        GEOM = tractGeom[t]\n",
    "        if GEOM.type == Polygon([Point(0,0),Point(1,0), Point(1,1)]).type :\n",
    "            EXTERIOR = GEOM.exterior\n",
    "            x,y = EXTERIOR.xy            \n",
    "            plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "        else:\n",
    "            for geom in GEOM.geoms:\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.fill(x,y,facecolor= (redd,gren,bluu) )\n",
    "MAPboundary = Polygon([Point(-109,37),Point(-102.06,37),Point(-102.06,41),Point(-109,41)])\n",
    "MAPboundary = MAPboundary.buffer(0.01)\n",
    "plotPoly(MAPboundary)\n",
    "plt.show()\n",
    "nWayOverusedTracts = 0\n",
    "nWayUnderusedTracts = 0\n",
    "for t in range(nTracts):\n",
    "    if tractUse[t] < minUse:\n",
    "        nWayUnderusedTracts +=1\n",
    "    if tractUse[t] > maxUse:\n",
    "        nWayOverusedTracts +=1\n",
    "print(\"there are a total of\",nWayUnderusedTracts,\"used <\",minUse,\"and\",nWayOverusedTracts,\"used more than\",maxUse) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "3b324fd6-01b6-438c-9342-3c5dadea3321",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a histogram of home-district pct GOP by tract\n",
      "statewide vote is off by 0.00236 0.43296 HD avg vs true 0.43061\n"
     ]
    },
    {
     "data": {
      "image/png": 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3JsyrIX12FfBjwM8BrwI+m+R4Vf3LlS5u0uYloIYs10SS1wEfBPZW1X9MqbauBvXZt1TVp5N8f5Jrq2oeF/kc0l+7gCOjcLoWuDXJ+ar62FQq7GfNPquqr479fCzJB+b4MwbDl577clV9Dfhakk8Drwc2XUDNyym+NZdcSnID8BHgnZvxN40rYEif/UBG/9uOvqTyamBeg33N/qqqG6tqoaoWgL8C3j3H4QTDPmPfO/YZ283S/1nz+hmDYcvHfRz46SRXJflOlr5B4vSU65yIuRhB1bDlmt4LfDfwgdG/h/M1YysDr8fAPvslltZg/DrwP8Avj02amCsD+0tjBvbZ24FfT3Kepc/Y7fP6GYNhfVZVp5P8NXAS+Cbwwar6wsZVfelc6kiS1NK8nOKTJG0yBpQkqSUDSpLUkgElSWrJgJIktWRASZJaMqAkSS39HyIDp43VKN1wAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stateGOP = np.sum(vtdTrump)/(np.sum(vtdTrump)+np.sum(vtdBiden))\n",
    "HDsumWeight = np.sum(HDweight)\n",
    "stateGOP2 = 0.\n",
    "stateHisp2 = 0.\n",
    "stateBlack2 = 0.\n",
    "for t in range(nTracts):\n",
    "    HDweight[t] = HDweight[t]/HDsumWeight   #renormalizing\n",
    "    stateGOP2 += HDweight[t]*HDvGOP[t]\n",
    "    stateBlack2 += HDweight[t]*HDvBlack[t]\n",
    "    stateHisp2 += HDweight[t]*HDvHisp[t]\n",
    "n_bins=50\n",
    "print(\"this is a histogram of home-district pct GOP by tract\") \n",
    "print(\"statewide vote is off by\",round((stateGOP2-stateGOP),5),round(stateGOP2,5),\"HD avg vs true\",round(stateGOP,5))\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "# We can set the number of bins with the *bins* keyword argument.\n",
    "ax.hist(HDvGOP, bins=n_bins,weights=HDweight)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "3ec3f408-c94d-4c43-913e-aa1220c5ec1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the correlation of HD area to red-blue lean\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... and here is the correlation of tract usage to red-blue lean\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Here is the correlation of HD area to red-blue lean\")\n",
    "fig, ax = plt.subplots()\n",
    "plt.scatter(HDarea,HDvGOP,marker='.' )   #need to calculate HD area before do\n",
    "ax.set(xlabel=\"tract area\", ylabel=\"home district pct GOP\")\n",
    "plt.show()\n",
    "print(\"... and here is the correlation of tract usage to red-blue lean\")\n",
    "fig, ax = plt.subplots()\n",
    "plt.scatter(HDvGOP,tractUse, marker='.' )\n",
    "ax.set(xlabel=\"home district pct GOP\", ylabel=\"tractUse\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "33362e3b-1cf7-4ddb-a08c-0c5d5f6ba7e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simpler and fractional-seat-smeared (var of 0.04 ) responsiveness are 3.407 3.13665\n",
      "0.33667 fractional expected GOP seats =  2.693  out of  8 seats\n",
      "simpler expected GOP seats =  2.8555  out of  8 seats\n"
     ]
    }
   ],
   "source": [
    "# UPDATED VOTES-SEATS CURVE (from votes2seats.ipynb 1/15/22)\n",
    "# LET'S REWORK OUR VOTES - SEATS CALCULATIONS\n",
    "# FIRST, LET'S DO THE BASIC VOTES-TO-SEATS, no fractional seats\n",
    "# INPUTS ARE HDvGOP[nTracts] and HDweight[nTracts]\n",
    "# HDvGOP is the redness lean of each Census tract's Home District\n",
    "# HDweight is the population of this Census tract relative to the state population\n",
    "# stateGOP is the statewide fraction of GOP vote vs. GOP + Dem vote\n",
    "# KEY EQUATION:\n",
    "# expected Seats at a given vote V = sum(HDweight) for tracts with HDvGOP > 0.5 + (V - stateGOP)\n",
    "# for easy calculation, create ~1000 bins, each bin containing HD's in a dV vote window\n",
    "nBins = 1000\n",
    "dV = 1./nBins\n",
    "binWeight = [0.]*nBins\n",
    "\n",
    "for t in range(nTracts):\n",
    "    binNo = int(HDvGOP[t]*nBins)   #which vote bin does this tract's vote go into for the expected statewide vote?\n",
    "    binWeight[binNo] += HDweight[t]\n",
    "    \n",
    "binVote = [0.]*nBins  #this will store the statewide vote for this bin\n",
    "for b in range(nBins) :\n",
    "    binVote[b] = b*dV\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, binWeight, marker='.',linestyle=\"none\")\n",
    "ax.set(xlabel=\"district pct GOP\", ylabel=\"bin weight\")\n",
    "plt.show()   #this should resemble above histogram\n",
    "\n",
    "#continuing with votes-to-seats, let's compute the S(V) curve with no fractional-seat smearing\n",
    "cumVote = [0.]*nBins\n",
    "for b in range(nBins) :\n",
    "    cumVote[nBins-b-1] = np.sum(binWeight[:(b+1)])  #cumulative weight of all Home Districts below vote b*dV\n",
    "    # print(\"bin, bin vote, cumVote for this bin\",b,b*dV,cumVote[b] )\n",
    "    \n",
    "cumSeats = [0.]*nBins  #this will sum the seats earned for a given statewide vote\n",
    "stateVoteBin = int( (stateGOP+0.5*dV)*nBins )   #which bin (out of 1/dV) holds the statewide total vote?\n",
    "for b in range(nBins) :\n",
    "    bb = int( max(0,min(nBins-1,nBins/2 + b-stateVoteBin)) )\n",
    "    cumSeats[b] = 1. - cumVote[bb]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, cumSeats, marker='.',linestyle=\"none\")\n",
    "ax.set(xlabel=\"statewide vote, nBins =\"+str(nBins)+\",\"+str(STATE), ylabel=\"GOP seats won (no fractl smearing)\")\n",
    "RANGE = [0.1, 0.9]\n",
    "fifty50 = [0.5, 0.5]\n",
    "expected = [stateGOP, stateGOP]\n",
    "plt.plot(RANGE,fifty50)\n",
    "plt.plot(fifty50,RANGE)\n",
    "plt.plot(expected,RANGE, linestyle=\"--\",color='red')\n",
    "\n",
    "#LET'S ALSO crudely ESTIMATE RESPONSIVENESS near the STATEWIDE VOTE, with a pseudonormal weighting and lst-sq fit\n",
    "stateSigma = 0.03  #User-adjustable, this is the uncertainty in the statewide vote from election to election\n",
    "usedBins = int(stateSigma/dV)\n",
    "nFitPoints = 6*usedBins\n",
    "voteData = [0.]*nFitPoints\n",
    "seatData = [0.]*nFitPoints\n",
    "counter = 0\n",
    "for b in range(nBins):\n",
    "    if ( abs(b-stateVoteBin) <= 2*usedBins ):  #include this S-V pair in our line fit\n",
    "        voteData[counter]=binVote[b]\n",
    "        seatData[counter]=cumSeats[b]\n",
    "        counter += 1\n",
    "        # print(b,counter)\n",
    "        if ( abs(b-stateVoteBin) < usedBins) : #double count this in data set\n",
    "            voteData[counter]=binVote[b]\n",
    "            seatData[counter]=cumSeats[b]\n",
    "            counter +=1\n",
    "fit = np.polyfit(voteData,seatData,1)  #first-order linear regression with old polyfit\n",
    "Rsimple = fit[0]     #slope is fit[0] in y = mx + b, intercept is fit[1]\n",
    "y0 = fit[1]\n",
    "Rx = [stateGOP - 4.*stateSigma, stateGOP + 4.*stateSigma]\n",
    "Ry = [y0 + Rx[0]*Rsimple, y0 + Rx[1]*Rsimple]\n",
    "plt.plot(Rx,Ry ) \n",
    "ax.text(Rx[1]+0.02, Ry[1]+0.02, \"R = \"+str(round(Rsimple,4)), transform=ax.transAxes, fontsize=14,color='purple')\n",
    "expectedSeats = cumSeats[stateVoteBin]\n",
    "ax.text(0.02,expectedSeats+0.03,\"expected seats = \"+str(round(expectedSeats,3)),transform=ax.transAxes,fontsize=9)\n",
    "ax.text(stateGOP+0.01,0.1,\"HD statewide vote = \"+str(round(stateGOP2,3)),transform=ax.transAxes,fontsize=9)\n",
    "Ex = [0,stateGOP ]\n",
    "Ey = [expectedSeats, expectedSeats]\n",
    "plt.plot(Ex,Ey, linestyle='-.',color='red')\n",
    "plt.show()\n",
    "\n",
    "#3/6/22 - alternate votes-to-seats with fractional seat smearing.\n",
    "# First, compute the general cdf sliver for -3 sigma to +3 sigma\n",
    "# Then, apply this smearing to the binVote weights\n",
    "seatVar = 0.04\n",
    "nBins = 1000\n",
    "nSigma = 6.  #how many total sigma of deviation we are explicitly modeling; the rest go into the tails\n",
    "nSlivers = 2*int(3*nBins*seatVar)  #budget for 3 sigma on either side of the expected vote\n",
    "sliverWt = [0.]*nSlivers  #each sliver holds the cdf reflecting the relative distance from the mean vote\n",
    "sliverSigma = [0.]*nSlivers\n",
    "totalSliverWt = 0.\n",
    "for nS in range(nSlivers):\n",
    "    dSigmaHigh = nSigma* (nS+0.5 - nSlivers/2) / float(nSlivers)\n",
    "    dSigmaLow =  nSigma* (nS-0.5 - nSlivers/2) / float(nSlivers)\n",
    "    sliverSigma[nS] = 0.5*(dSigmaHigh+dSigmaLow)  #for plotting; keeps track of this sliver's center sigma\n",
    "    sliverWt[nS] = norm.cdf(dSigmaHigh) - norm.cdf(dSigmaLow)\n",
    "    totalSliverWt += sliverWt[nS]\n",
    "lowSliverWt = 0.5 * (1. - totalSliverWt)\n",
    "highSliverWt = lowSliverWt\n",
    "#print(\"each tail of distribution has weight\",round(lowSliverWt,4) )\n",
    "#plt.plot(sliverSigma,sliverWt)\n",
    "#plt.show()\n",
    "# OK, that worked as expected.  Now, do the smearing of each bin\n",
    "smearedBinWeight = [0.]*nBins\n",
    "for b in range(nBins):\n",
    "    centerBinNo = b #int(HDvGOP[t]*nBins)   #which vote bin does this tract's vote go into for the expected statewide vote?\n",
    "    binOffset = int(nSlivers/2)\n",
    "    for nS in range(nSlivers):\n",
    "        binNo = centerBinNo + nS - binOffset\n",
    "        if (binNo < 0): #deep blue district; variance would push vote %R < 0\n",
    "            binNo = 0\n",
    "        if (binNo >= nBins):  #deep red district; variance would push vote %R > 1\n",
    "            binNo = nBins - 1\n",
    "        smearedBinWeight[binNo] += binWeight[b]*sliverWt[nS]\n",
    "    # Now put the tails into the correct bins\n",
    "    binNo = centerBinNo -1 - binOffset  #left tail\n",
    "    if binNo < 0:\n",
    "        binNo = 0\n",
    "    smearedBinWeight[binNo] += binWeight[b]*lowSliverWt\n",
    "    binNo = centerBinNo + nSlivers - binOffset  #right tail\n",
    "    if binNo >= nBins:\n",
    "        binNo = nBins -1 \n",
    "    smearedBinWeight[binNo] += binWeight[b]*highSliverWt\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(binVote, binWeight, marker='.',linestyle=\"none\",label=\"unsmeared\")\n",
    "plt.plot(binVote, smearedBinWeight, marker='o',linestyle=\"none\",label=\"smeared\")\n",
    "RANGE = [0.0, 0.5*np.max(binWeight)]\n",
    "sGOP = [stateGOP, stateGOP]\n",
    "plt.plot(sGOP,RANGE,linestyle=\"-\",label=\"statewide \"+str(round(stateGOP,3)) )\n",
    "ax.set(xlabel=\"district pct GOP\", ylabel=\"bin weight\")\n",
    "plt.legend()\n",
    "plt.show()   #this should resemble above histogram\n",
    "\n",
    "#continuing with votes-to-seats, let's compute the S(V) curve with no fractional-seat smearing\n",
    "smearedBinVote = [0.]*nBins  #this will store the statewide vote for this bin\n",
    "cumSmearedVote = [0.]*nBins\n",
    "for b in range(nBins) :\n",
    "    smearedBinVote[b] = b*dV\n",
    "    cumSmearedVote[nBins-b-1] = np.sum(smearedBinWeight[:(b+1)])  #cumulative weight of all Home Districts below vote b*dV\n",
    "    # print(\"bin, bin vote, cumVote for this bin\",b,b*dV,cumVote[b] )\n",
    "    \n",
    "cumSmearedSeats = [0.]*nBins  #this will sum the seats earned for a given statewide vote\n",
    "stateVoteBin = int( (stateGOP+0.5*dV)*nBins )   #which bin (out of 1/dV) holds the statewide total vote?\n",
    "for b in range(nBins) :\n",
    "    bb = int( max(0,min(nBins-1,nBins/2 + b-stateVoteBin)) )\n",
    "    cumSmearedSeats[b] = 1. - cumSmearedVote[bb]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(smearedBinVote,cumSmearedSeats, marker='o',linestyle=\"none\",label=str(seatVar)+\" smear\")\n",
    "plt.plot(binVote, cumSeats, marker='.',linestyle=\"none\",label=\"no smear\")\n",
    "ax.set(xlabel=\"statewide vote, nBins =\"+str(nBins)+\", state=\"+str(STATE), ylabel=\"GOP seats won\")\n",
    "RANGE = [0.1, 0.9]\n",
    "fifty50 = [0.5, 0.5]\n",
    "expected = [stateGOP, stateGOP]\n",
    "expectedSeats = cumSeats[stateVoteBin]\n",
    "expectedS = [expectedSeats,expectedSeats]\n",
    "smearedSeats = cumSmearedSeats[stateVoteBin]\n",
    "smearedS = [smearedSeats,smearedSeats]\n",
    "plt.plot(RANGE,fifty50)\n",
    "plt.plot(fifty50,RANGE)\n",
    "plt.plot(RANGE,smearedS, linestyle=\"--\",color='blue',label=str(round(expectedSeats,3))+\"no smear\")\n",
    "plt.plot(RANGE,expectedS, linestyle=\"--\",color='orange',label=str(round(smearedSeats,3))+\"smeared\")\n",
    "plt.plot(expected,RANGE, linestyle=\"--\",color='red')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "#Finally, let's compare responsiveness using smeared (fractional seat variance) to non-smeared calculated above\n",
    "#LET'S ALSO crudely ESTIMATE (smeared) RESPONSIVENESS near the STATEWIDE VOTE, as we did for non-smeared\n",
    "stateSigma = 0.03  #User-adjustable, this is the uncertainty in the statewide vote from election to election\n",
    "usedBins = int(stateSigma/dV)\n",
    "nFitPoints = 6*usedBins\n",
    "voteData = [0.]*nFitPoints\n",
    "seatData = [0.]*nFitPoints\n",
    "counter = 0\n",
    "for b in range(nBins):\n",
    "    if ( abs(b-stateVoteBin) <= 2*usedBins ):  #include this S-V pair in our line fit\n",
    "        voteData[counter]=smearedBinVote[b]\n",
    "        seatData[counter]=cumSmearedSeats[b]\n",
    "        counter += 1\n",
    "        # print(b,counter)\n",
    "        if ( abs(b-stateVoteBin) < usedBins) : #double count this in data set\n",
    "            voteData[counter]=smearedBinVote[b]\n",
    "            seatData[counter]=cumSmearedSeats[b]\n",
    "            counter +=1\n",
    "fit = np.polyfit(voteData,seatData,1)  #first-order linear regression with old polyfit\n",
    "Rsmeared = fit[0]     #slope is fit[0] in y = mx + b, intercept is fit[1]\n",
    "y0 = fit[1]\n",
    "\n",
    "print(\"simpler and fractional-seat-smeared (var of\",seatVar,\") responsiveness are\",r3(Rsimple) ,r5(Rsmeared) )   \n",
    "print(r5(smearedSeats),\"fractional expected GOP seats = \",r3(nDistricts*smearedSeats),\" out of \",nDistricts,\"seats\")\n",
    "print(\"simpler expected GOP seats = \",round(nDistricts*expectedSeats,4),\" out of \",nDistricts,\"seats\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96a159db-98f9-453b-90a6-2f2713e042bf",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03f802d8-479a-4fe4-aaec-70363cfd4ec7",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Let us compute the geog bias and R for the extreme of each precinct = election\")\n",
    "print(\"using 2020 pres as proxy.  Each 'district' awards tractPop / statePop of a seat\")\n",
    "print(\"we compute for -0.02, -0.01, 0, 0.01, 0.02 uniform swings, no fractional analysis\")\n",
    "GOPseats = [0.,0.,0.,0.,0.]\n",
    "swing = [-0.02, -0.01, 0, 0.01, 0.02]\n",
    "stateGOP = np.sum(vtdTrump)/(np.sum(vtdTrump)+np.sum(vtdBiden) )\n",
    "for t in range(nTracts):    \n",
    "    for s in range(len(swing)):\n",
    "        seatWeight = tractPop[t] / statePop\n",
    "        if vtdBiden[t] + vtdTrump[t] > 0:  #ignore empty precincts\n",
    "            GOPvote = vtdTrump[t] / (vtdTrump[t] + vtdBiden[t])\n",
    "            adjVote = GOPvote + swing[s]\n",
    "            if adjVote == 0.5:\n",
    "                GOPseats[s] += 0.5 * seatWeight\n",
    "            elif adjVote > 0.5:\n",
    "                GOPseats[s] += seatWeight\n",
    "print(\"for swings of\",swing,\"GOP seat fractions were\",GOPseats,\"stateVote was\",stateGOP)"
   ]
  }
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